{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Splitting and Cross-validation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Lecture Learning Objectives \n",
"\n",
"- Explain the concept of generalization.\n",
"- Split a dataset into train and test sets using `train_test_split` function.\n",
"- Explain the difference between train, validation, test, and \"deployment\" data.\n",
"- Identify the difference between training error, validation error, and test error.\n",
"- Explain cross-validation and use `cross_val_score()` and `cross_validate()` to calculate cross-validation error.\n",
"- Explain overfitting, underfitting, and the fundamental tradeoff.\n",
"- State the golden rule and identify the scenarios when it's violated."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Five Minute Recap/ Lightning Questions \n",
"\n",
"- What is an example of machine learning? \n",
"- Which type of machine learning does not have labels?\n",
"- What is an example of a Regression problem? \n",
"- In a dataframe, what is an observation? \n",
"- What is the first node of a Decision Tree called?\n",
"- Where/who determines the parameter values?\n",
"- What library will we be using for machine learning? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's start by creating a decision tree model as we did in lecture 1."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# import a custom function\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.model_selection import cross_validate\n",
"import altair as alt\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"import os\n",
"import sys\n",
"sys.path.append(os.path.join(os.path.abspath(\".\"), \"code\"))\n",
"from plotting_functions import *\n",
"from utils import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
lon
\n",
"
lat
\n",
"
vote
\n",
"
\n",
" \n",
" \n",
"
\n",
"
1
\n",
"
-80.162475
\n",
"
25.692104
\n",
"
red
\n",
"
\n",
"
\n",
"
2
\n",
"
-80.214360
\n",
"
25.944083
\n",
"
red
\n",
"
\n",
"
\n",
"
3
\n",
"
-80.094133
\n",
"
26.234314
\n",
"
red
\n",
"
\n",
"
\n",
"
4
\n",
"
-80.248086
\n",
"
26.291902
\n",
"
red
\n",
"
\n",
"
\n",
"
5
\n",
"
-81.789963
\n",
"
26.348035
\n",
"
red
\n",
"
\n",
"
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
\n",
"
\n",
"
393
\n",
"
-101.115061
\n",
"
47.640333
\n",
"
blue
\n",
"
\n",
"
\n",
"
394
\n",
"
-119.036728
\n",
"
47.926446
\n",
"
red
\n",
"
\n",
"
\n",
"
395
\n",
"
-102.142732
\n",
"
47.955970
\n",
"
blue
\n",
"
\n",
"
\n",
"
396
\n",
"
-97.460476
\n",
"
48.225094
\n",
"
blue
\n",
"
\n",
"
\n",
"
397
\n",
"
-96.551116
\n",
"
48.591592
\n",
"
red
\n",
"
\n",
" \n",
"
\n",
"
397 rows × 3 columns
\n",
"
"
],
"text/plain": [
" lon lat vote\n",
"1 -80.162475 25.692104 red\n",
"2 -80.214360 25.944083 red\n",
"3 -80.094133 26.234314 red\n",
"4 -80.248086 26.291902 red\n",
"5 -81.789963 26.348035 red\n",
".. ... ... ...\n",
"393 -101.115061 47.640333 blue\n",
"394 -119.036728 47.926446 red\n",
"395 -102.142732 47.955970 blue\n",
"396 -97.460476 48.225094 blue\n",
"397 -96.551116 48.591592 red\n",
"\n",
"[397 rows x 3 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"voting_df = pd.read_csv(\n",
" 'data/cities_USA.csv',\n",
" index_col=0\n",
").query(\n",
" 'lon > -140' # Remove alaska for easier plotting\n",
")\n",
"voting_df"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The accuracy of the model on the training data: 0.826\n"
]
}
],
"source": [
"# feature table\n",
"X = voting_df.drop(columns='vote')\n",
"\n",
"# the target variable\n",
"y = voting_df['vote']\n",
"\n",
"# initiate model framework with a decision tree of max_depth 2\n",
"depth=2\n",
"model_d2 = DecisionTreeClassifier(max_depth=depth)\n",
"\n",
"# training the model\n",
"model_d2.fit(X, y)\n",
"\n",
"# Score the models overall accuracy on the training data\n",
"print(\"The accuracy of the model on the training data: %0.3f\" % (model_d2.score(X, y)))\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['red'], dtype=object)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Predict on new data\n",
"model_d2.predict(pd.DataFrame({'lon': [-75], 'lat': [56]}))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Big picture and motivation \n",
"\n",
"In machine learning we want to learn a mapping function from labeled data so that we can predict labels of **unlabeled** data. For example, suppose we want to build a spam filtering system. We will take a large number of spam/non-spam messages from the past, learn patterns associated with spam/non-spam from them, and predict whether **a new incoming message** in someone's inbox is spam or non-spam based on these patterns. \n",
"\n",
"So we want to learn from the past but ultimately we want to apply it on the future email messages. \n",
"\n",
"**How can we generalize from what we've seen to what we haven't seen?** \n",
"\n",
"In this lecture, we'll see how machine learning tackles this question. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Generalization\n",
"\n",
"### Visualizing model complexity using decision boundaries\n",
"\n",
"In the last lecture, we saw that we could visualize the splitting of decision trees using either a tree diagram or a plot of decision boundaries."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plotting the values, we see the two levels of splits indicated by our max_depth=2 hypterparameter."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_tree_decision_boundary_and_tree(\n",
" model_d2,\n",
" X,\n",
" y,\n",
" eps=10,\n",
" x_label=\"lon\",\n",
" y_label=\"lat\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ok, now let's see what happens to our score and decision boundaries when we change our maximum tree depth."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The accuracy of the model on the training data: 0.874\n"
]
}
],
"source": [
"depth = 3\n",
"model_d3 = DecisionTreeClassifier(max_depth=depth)\n",
"model_d3.fit(X, y)\n",
"print(\"The accuracy of the model on the training data: %0.3f\" % (model_d3.score(X, y)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The decision boundaries are created by three levels of splits now 3 splits now (for each observation we ask three questions to find out how to classify it).\n",
"\n",
"Our score here has increased from 83% to 87%.\n",
"\n",
"When we graph it, we can now see more boundaries, meaning that the model has become more specific to our training data."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_tree_decision_boundary_and_tree(\n",
" model_d3,\n",
" X,\n",
" y,\n",
" eps=10,\n",
" x_label=\"lon\",\n",
" y_label=\"lat\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What happens if we give the model an unlimited `max_depth`?"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The accuracy of the model on the training data: 1.000\n"
]
}
],
"source": [
"model_dmax = DecisionTreeClassifier()\n",
"model_dmax.fit(X, y);\n",
"model_dmax.get_depth()\n",
"print(\"The accuracy of the model on the training data: %0.3f\" % (model_dmax.score(X, y)))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"max_depths = np.arange(1, 10)\n",
"accuracies = []\n",
"for max_depth in max_depths:\n",
" accuracy = (\n",
" DecisionTreeClassifier(max_depth=max_depth).fit(X, y).score(X, y)\n",
" )\n",
" accuracies.append(accuracy)\n",
"plt.figure(figsize=(5, 4))\n",
"plt.plot(max_depths, accuracies)\n",
"plt.xlabel(\"max depth\")\n",
"plt.ylabel(\"accuracy\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Our model has 100% accuracy for depths >= 8!!\n",
"- Is it good or bad?\n",
"- How to pick the best max_depth?\n",
"- How can we make sure that the model we have built would do reasonably well on unseen data in the wild when it’s deployed?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that we can reach 100% accuracy with models with max_depth >= 8. Does that mean we will ALWAYS get it right on unseen data?\n",
"\n",
"We can use the cities from alaska that we excluded initially to find out:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
lon
\n",
"
lat
\n",
"
vote
\n",
"
\n",
" \n",
" \n",
"
\n",
"
398
\n",
"
-166.519855
\n",
"
53.887114
\n",
"
blue
\n",
"
\n",
"
\n",
"
399
\n",
"
-163.733617
\n",
"
67.665859
\n",
"
blue
\n",
"
\n",
"
\n",
"
400
\n",
"
-145.423115
\n",
"
68.077395
\n",
"
blue
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" lon lat vote\n",
"398 -166.519855 53.887114 blue\n",
"399 -163.733617 67.665859 blue\n",
"400 -145.423115 68.077395 blue"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alaska = pd.read_csv(\n",
" 'data/cities_USA.csv',\n",
" index_col=0\n",
").query(\n",
" 'lon <= -140' \n",
")\n",
"alaska"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['red', 'red', 'red'], dtype=object)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model_dmax.predict(alaska[['lon', 'lat']])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Oh no! The model incorrectly predicted \"red\" for all three cities in Alaska.\n",
"\n",
"This illustrates that a model that is more specific to the training data,\n",
"might not always generalize well to unseen data,\n",
"which is our eventual goal\n",
"since we will not have all its true target labels upfront\n",
"(then we would not need ML in the first place).\n",
"\n",
"For our decision tree model,\n",
"we see that training score increases as we increase `max_depth`.\n",
"Since we are creating a more complex tree (higher `max_depth`)\n",
"we can fit all the peculiarities of our data to eventually get 100% accuracy."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The Fundamental goal of machine learning\n",
"\n",
"Goal: **to generalize beyond what we see in the training examples**. \n",
"We are only given a sample of the data and do not have the full distribution. \n",
"Using the training data, we want to come up with a reasonable model that will perform well on some unseen examples. \n",
"\n",
"At the end of the day, we want to deploy models that make reasonable predictions on unseen data\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generalizing to unseen data\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Goal: We want the model to be able to generalize beyond what it has seen in the training data.\n",
"- But these new examples should be representative of the training data. That is they should have the same characteristics as the training data.\n",
"- In this example, we would like the leaner to be able to predict labels for test examples 1, 2, and 3 accurately. Although 2, 3 don’t exactly occur in the training data, they are very much similar to the images in the training data. That said, is it fair to expect the learner to label image 4 correctly?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"The point here is that we want this learning to be able to generalize beyond what it sees here and be able to predict and predict labels for the new examples that have some of the characteristics of, but are not identical too, the training data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Training score versus Generalization score (or Error)\n",
"\n",
"So would we expect a model with a really high accuracy on the training data to perform equally well on unseen examples? Probably not. \n",
"\n",
"Hopefully our training data is representative of the unseen data, but it will not be identical. In general it is difficult to build a model that has close to perfect accuracy so when this happens on the training data, it might mean that we have made the model too specific to the training set.\n",
"\n",
"Given a model in machine learning, people usually talk about two kinds of accuracies (scores):\n",
"\n",
"1. Accuracy on the training data\n",
" \n",
"2. **Accuracy on the entire distribution of data** (including all the unseen data)\n",
"\n",
"We are interested in the score on the entire distribution because at the end of the day we want our model to perform well on unseen examples. \n",
"\n",
"But the problem is that we do not have access to the distribution and only the limited training data that is given to us. \n",
"\n",
"So, what do we do? Is our only option to use the training data score and hope for the best?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Splitting\n",
"\n",
"While we don't have access to data that the model hasn't seen, we can simulate this by reserving a portion of our training data for evaluation purposes. By splitting our data this way, we can approximate generalization accuracy.\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"- set aside a randomly chosen subset of our data, which we refer to as the testing data. \n",
"- `fit`` (train) a model on the training portion only.\n",
"- `score`` (assess) the trained model on this set-aside **Testing** data to get a sense of how well the model would be able to generalize.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Simple train and test split\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"- First, the data needs to be shuffled.\n",
"- Then, we split the rows of the data into 2 sections -> **train** and **test**. \n",
"\n",
"- The lock and key icon on the test set symbolizes that we don't want to touch the test data until the very end (more on this soon).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How do we do this? \n",
"\n",
"In our trusty Scikit Learn package, we have a function for that! \n",
"- `train_test_split`\n",
"\n",
"Let's try it out using a similar yet slightly different dataset. Here we still have `latitude` and `longitude` coordinates but this time our target variable is if the city with these coordinates lies in Canada or the USA. \n",
"\n",
"#### First way"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" Variable name Shape\n",
"0 X (209, 2)\n",
"1 y (209,)\n",
"2 X_train (167, 2)\n",
"3 y_train (167,)\n",
"4 X_test (42, 2)\n",
"5 y_test (42,)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Print shapes of the training and testing data (you can ignore the code here)\n",
"pd.DataFrame({\n",
" \"Variable name\": [\"X\", \"y\", \"X_train\", \"y_train\", \"X_test\", \"y_test\"],\n",
" \"Shape\": [X.shape, y.shape,\n",
" X_train.shape, y_train.shape,\n",
" X_test.shape, y_test.shape]\n",
"})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Second way\n",
"\n",
"Instead of splitting our `X` and `y` objects. We can split the whole dataset first into train and test splits. \n",
"\n",
"The earlier to split the data the better,\n",
"so this alternative is preferred in general."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" longitude latitude country\n",
"160 -76.4813 44.2307 Canada\n",
"127 -81.2496 42.9837 Canada\n",
"169 -66.0580 45.2788 Canada\n",
"188 -73.2533 45.3057 Canada\n",
"187 -67.9245 47.1652 Canada\n",
".. ... ... ...\n",
"17 -76.3305 44.1255 USA\n",
"98 -74.7287 45.0184 Canada\n",
"66 -121.4944 38.5816 USA\n",
"126 -79.5656 43.6436 Canada\n",
"109 -66.9195 44.8938 Canada\n",
"\n",
"[167 rows x 3 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_df, test_df = train_test_split(cities_df, test_size=0.2, random_state=123)\n",
"\n",
"X_train = train_df.drop(columns=[\"country\"])\n",
"y_train = train_df[\"country\"]\n",
"\n",
"X_test = test_df.drop(columns=[\"country\"])\n",
"y_test = test_df[\"country\"]\n",
"\n",
"train_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Applications with Splitting\n",
"\n",
"Let's fit a decision tree model with unlimited depth on the training data and look at the tree structure."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model = DecisionTreeClassifier()\n",
"model.fit(X_train, y_train)\n",
"\n",
"plot_tree(\n",
" model,\n",
" feature_names=X_train.columns,\n",
" class_names=y_train.unique(),\n",
" impurity=False,\n",
" ax=plt.subplots(figsize=(24, 10))[1]\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see how on model scores on the training data and the test data."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train score: 1.0\n",
"Test score: 0.74\n"
]
}
],
"source": [
"print(\"Train score: \" + str(round(model.score(X_train, y_train), 2)))\n",
"print(\"Test score: \" + str(round(model.score(X_test, y_test), 2)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For this tree, the training score is 1.0 and the test score is only 0.71. \n",
"\n",
"The model does not perform quite as well on data that it has not seen, i.e. it is very specific to the training data and does not generalize well.\n",
"\n",
"To see this visually, let's look at the training and testing data with the decision boundaries made by the model."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1, 2, figsize=(16, 6), subplot_kw={\"xticks\": (), \"yticks\": ()})\n",
"plot_tree_decision_boundary(\n",
" model,\n",
" X_train,\n",
" y_train,\n",
" eps=10,\n",
" x_label=\"longitude\",\n",
" y_label=\"latitude\",\n",
" ax=ax[0],\n",
" title=\"Decision tree model on the train data\",\n",
")\n",
"plot_tree_decision_boundary(\n",
" model,\n",
" X_test,\n",
" y_test,\n",
" eps=10,\n",
" x_label=\"longitude\",\n",
" y_label=\"latitude\",\n",
" ax=ax[1],\n",
" title=\"Decision tree model on the test data\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On the left and the right, we have the same boundaries. But different data being shown.\n",
"\n",
"The model is getting 100 percent accuracy on the training and for that to happen, the model ends up being extremely specific.\n",
"\n",
"The model got over complicated on the training data and this doesn’t generalize to the test data well.\n",
"\n",
"In the plot on the right, we can see some red triangles in the blue area. That is the model making mistakes which explains the lower test accuracy."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Parameters in `.train_test_split()`\n",
"\n",
"- `test_size` - test split size (0-1)\n",
"- `train_size` - train split size (0-1) (only need to specify one if these\n",
"- `random_state` - keeps the split randomization consistent between runs"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"train_df, test_df = train_test_split(cities_df, test_size = 0.2, random_state = 123)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"train_df, test_df = train_test_split(cities_df, train_size = 0.8, random_state = 123)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"train_df, test_df = train_test_split(cities_df, test_size = 0.2, train_size = 0.8, random_state = 123)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is no hard and fast rule on the split sizes should we use. Some common splits are 90/10, 80/20, 70/30 (training/test).\n",
"\n",
"In the above example, we used an 80/20 split.\n",
"\n",
"But there is a trade-off:\n",
"- More training -> More information for our model. \n",
"- More test -> Better assessment of our model."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's look at the random_state argument:\n",
"\n",
"The random_state argument controls this shuffling and without this argument set, each time we split our data, it will be split in a different way."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
longitude
\n",
"
latitude
\n",
"
country
\n",
"
\n",
" \n",
" \n",
"
\n",
"
132
\n",
"
-78.8630
\n",
"
43.9177
\n",
"
Canada
\n",
"
\n",
"
\n",
"
64
\n",
"
-119.7848
\n",
"
36.7394
\n",
"
USA
\n",
"
\n",
"
\n",
"
50
\n",
"
-77.0366
\n",
"
38.8950
\n",
"
USA
\n",
"
\n",
"
\n",
"
12
\n",
"
-82.4405
\n",
"
42.9816
\n",
"
USA
\n",
"
\n",
"
\n",
"
142
\n",
"
-123.1374
\n",
"
49.1632
\n",
"
Canada
\n",
"
\n",
"
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
\n",
"
\n",
"
185
\n",
"
-71.3998
\n",
"
46.8884
\n",
"
Canada
\n",
"
\n",
"
\n",
"
161
\n",
"
-60.1941
\n",
"
46.1380
\n",
"
Canada
\n",
"
\n",
"
\n",
"
49
\n",
"
-104.9849
\n",
"
39.7392
\n",
"
USA
\n",
"
\n",
"
\n",
"
71
\n",
"
-78.6391
\n",
"
35.7804
\n",
"
USA
\n",
"
\n",
"
\n",
"
14
\n",
"
-78.8784
\n",
"
42.8867
\n",
"
USA
\n",
"
\n",
" \n",
"
\n",
"
167 rows × 3 columns
\n",
"
"
],
"text/plain": [
" longitude latitude country\n",
"132 -78.8630 43.9177 Canada\n",
"64 -119.7848 36.7394 USA\n",
"50 -77.0366 38.8950 USA\n",
"12 -82.4405 42.9816 USA\n",
"142 -123.1374 49.1632 Canada\n",
".. ... ... ...\n",
"185 -71.3998 46.8884 Canada\n",
"161 -60.1941 46.1380 Canada\n",
"49 -104.9849 39.7392 USA\n",
"71 -78.6391 35.7804 USA\n",
"14 -78.8784 42.8867 USA\n",
"\n",
"[167 rows x 3 columns]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_df, test_df = train_test_split(cities_df, test_size = 0.2)\n",
"train_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We set this to add a component of reproducibility to our code and if we set it with a `random_state` when we run our code again it will produce the same result. "
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
longitude
\n",
"
latitude
\n",
"
country
\n",
"
\n",
" \n",
" \n",
"
\n",
"
150
\n",
"
-79.2441
\n",
"
43.1580
\n",
"
Canada
\n",
"
\n",
"
\n",
"
96
\n",
"
-76.3019
\n",
"
44.2110
\n",
"
Canada
\n",
"
\n",
"
\n",
"
199
\n",
"
-122.9109
\n",
"
49.2068
\n",
"
Canada
\n",
"
\n",
"
\n",
"
68
\n",
"
-94.5781
\n",
"
39.1001
\n",
"
USA
\n",
"
\n",
"
\n",
"
156
\n",
"
-72.5565
\n",
"
46.3327
\n",
"
Canada
\n",
"
\n",
"
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
\n",
"
\n",
"
106
\n",
"
-67.4253
\n",
"
45.5672
\n",
"
Canada
\n",
"
\n",
"
\n",
"
14
\n",
"
-78.8784
\n",
"
42.8867
\n",
"
USA
\n",
"
\n",
"
\n",
"
92
\n",
"
-83.0353
\n",
"
42.3171
\n",
"
Canada
\n",
"
\n",
"
\n",
"
179
\n",
"
-121.9514
\n",
"
49.1577
\n",
"
Canada
\n",
"
\n",
"
\n",
"
102
\n",
"
-68.6034
\n",
"
47.2527
\n",
"
Canada
\n",
"
\n",
" \n",
"
\n",
"
167 rows × 3 columns
\n",
"
"
],
"text/plain": [
" longitude latitude country\n",
"150 -79.2441 43.1580 Canada\n",
"96 -76.3019 44.2110 Canada\n",
"199 -122.9109 49.2068 Canada\n",
"68 -94.5781 39.1001 USA\n",
"156 -72.5565 46.3327 Canada\n",
".. ... ... ...\n",
"106 -67.4253 45.5672 Canada\n",
"14 -78.8784 42.8867 USA\n",
"92 -83.0353 42.3171 Canada\n",
"179 -121.9514 49.1577 Canada\n",
"102 -68.6034 47.2527 Canada\n",
"\n",
"[167 rows x 3 columns]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_df_rs5, test_df_rs5 = train_test_split(cities_df, test_size = 0.2, random_state = 42)\n",
"train_df_rs5"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Validation data for hyperparameter optimization\n",
"\n",
"We have seen that letting the model set the hypterparameters (such as max_depth) in an unconstrained way, will cause it to become very specific to the training data. How can we come up with a good way to find which hyperparameters produce the best generalized model (also called **hyperparameter optimization**)? \n",
" \n",
"It's a good idea to have separate data for tuning the hyperparameters of a model that is not the test set. Enter, the ***validation*** set. \n",
"\n",
"So we actually want to split our dataset into 3 splits: train, validation, and test.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***Note: There isn't a good consensus on the terminology of what is validation and what is test data.***\n",
"\n",
"We use: \n",
"- **training data**: The data used when fitting to find the best model parameters.\n",
"\n",
"- **validation data**: Data where we have access to the target values, but unlike the training data, we only use this for hyperparameter tuning and model assessment; we don't pass these into `fit`. This evaluation is still biased as skill on the validation dataset is incorporated into the model hyperparameter configuration.\n",
"\n",
"- **test data** (also called holdout data): Data where we have access to the target values, but in this case, unlike training and validation data, we neither use it in training nor hyperparameter optimization and only use it **once** to evaluate the performance of the best performing model on the validation set. We lock it in a \"vault\" until we're ready to evaluate and it gives a more unbiased performance score than the validation score since the model configuration has not been tweaked to perform well on the test data in any way."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \"Deployment\" data\n",
"\n",
"What's the point of making models? \n",
" > We want to predict something which we do not know the answer to, so we do not have the target values and we only have the features.\n",
"\n",
"After we build and finalize a model, we deploy it, and then the model is used with data in the wild.\n",
"\n",
"We will use **deployment data** to refer to data, where we do not have access to the target values.\n",
"\n",
"Deployment score is the thing we really care about; it is the performance of the final model on the data in production.\n",
"\n",
"We use validation and test scores as proxies for the deployment score, and we hope they are similar.\n",
"\n",
"So, if our model does well on the validation and test data, we hope it will do well on deployment data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's Practice \n",
"\n",
"1\\. When is the most optimal time to split our data? \n",
"2\\. Why do we split our data? \n",
"3\\. Fill in the table below: \n",
"\n",
"| datasets | `.fit()` | `.score()` | `.predict()` |\n",
"|------------|:--------:|:----------:|:------------:|\n",
"| Train | ✔️ | | |\n",
"| Validation | | | |\n",
"| Test | | | |\n",
"| Deployment | | | |\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```{admonition} Solutions!\n",
":class: dropdown\n",
"\n",
"1. Before we visualize/explore it.\n",
"\n",
"2. To help us assess how well our model generalizes.\n",
"\n",
"3. Fill in the table below:\n",
"\n",
"| datasets | `.fit()` | `.score()` | `.predict()` |\n",
"|------------|:--------:|:----------:|:------------:|\n",
"| Train | ✔️ | ✔️ | ✔️ |\n",
"| Validation | | ✔️ | ✔️ |\n",
"| Test | | Once | Once |\n",
"| Deployment | | | ✔️ |\n",
"\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Cross-validation\n",
"\n",
"\n",
"\n",
"\n",
"Problems with having a single train-validation split:\n",
"\n",
"- Only using a portion of your full data set for training/validation (data is our most precious resource!!!)\n",
"- If your dataset is small you might end up with a tiny training/validation set\n",
"- Might be unlucky with your splits such that they don't well represent your data (shuffling data, as is done in `train_test_split()`, is not immune to being unlucky!)\n",
"\n",
"There must be a better way! \n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is! The answer to our problem is called.....\n",
"\n",
"**Cross-validation** (CV) or **𝑘-fold cross-validation**.\n",
"In cross-validation,\n",
"we perform several training-validation splits and train and evaluate our model across all of them\n",
"to find the hyperparameters that performs the best on the data in general.\n",
"\n",
"\n",
"\n",
"- We still have the test set here at the bottom locked away that we will not touch until the end.\n",
"- But, we split the training data into $k$ folds ($k>2$, often $k=10$). In the graphic above $k=4$.\n",
"- Each \"fold\" gets a turn at being the validation set.\n",
"- Each round will produce a score so after 𝑘-fold cross-validation, it will produce 𝑘 scores. We usually average over the 𝑘 results.\n",
"- Note that cross-validation doesn't shuffle the data; it's done in `train_test_split`.\n",
"- We can get now a more “robust” score on unseen data since we can see the variation in the scores across folds. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that for the same reason as we perform CV with the validation dataset,\n",
"we might also perform it with the test data set.\n",
"This is referred to as nested CV,\n",
"as it includes one outer CV loop for splitting the test data from the validation + training data,\n",
"and one inner CV loop for splitting the validation data from the training data\n",
"This can be a good idea in practice,\n",
"especially if your sample dataset is small,\n",
"but it is not as commonly used\n",
"as CV for only the validation-training split."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Cross-validation using `sklearn`\n",
"\n",
"There are 2 ways we can do cross-validation with `sklearn`:\n",
"- `.cross_val_score()`\n",
"- `.cross_validate()`\n",
"\n",
"Before doing cross-validation we still need to split our data into our training set and our test set and separate the features from the targets. \n",
"So using our `X` and `y` from our Canadian/United States cities data we split it into train/test splits. "
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(\n",
" X, y, test_size=0.2, random_state=123)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### `cross_val_score`\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.76470588, 0.82352941, 0.70588235, 0.94117647, 0.82352941,\n",
" 0.82352941, 0.70588235, 0.9375 , 0.9375 , 0.9375 ])"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model = DecisionTreeClassifier(max_depth=4)\n",
"cv_score = cross_val_score(model, X_train, y_train, cv=10)\n",
"cv_score"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Average cross-validation score = 0.84\n",
"Standard deviation of cross-validation score = 0.09\n"
]
}
],
"source": [
"print(f\"Average cross-validation score = {np.mean(cv_score):.2f}\")\n",
"print(f\"Standard deviation of cross-validation score = {np.std(cv_score):.2f}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Once, we've imported `cross_val_score` we can make our model and call our model, the feature object and target object as arguments. \n",
"\n",
"- `cv` determines the cross-validation splitting strategy or how many \"folds\" there are.\n",
"\n",
"- For each fold, the model is fitted on the training portion and scores on the validation portion.\n",
"\n",
"- The output of `cross_val_score()` is the validation score for each fold. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### `cross_validate`\n",
"\n",
"- Similar to `cross_val_score` but more informative.\n",
"- Lets us access training ***and*** validation scores using the parameter `return_train_score`.\n",
"- Note: in the dictionary output `test_score` and `test_time` refers to *validation score* and *validation time*"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'fit_time': array([0.00254798, 0.00328088, 0.00119495, 0.00120592, 0.00115728,\n",
" 0.00106502, 0.00119925, 0.00124025, 0.00112414, 0.00105286]),\n",
" 'score_time': array([0.00311804, 0.00144911, 0.00078106, 0.00078511, 0.00072765,\n",
" 0.00072098, 0.00077701, 0.0007658 , 0.00071788, 0.00079417]),\n",
" 'test_score': array([0.76470588, 0.82352941, 0.70588235, 0.94117647, 0.82352941,\n",
" 0.82352941, 0.70588235, 0.9375 , 0.9375 , 0.9375 ]),\n",
" 'train_score': array([0.91333333, 0.90666667, 0.90666667, 0.9 , 0.90666667,\n",
" 0.91333333, 0.92 , 0.90066225, 0.90066225, 0.90066225])}"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores = cross_validate(model, X_train, y_train, cv=10, return_train_score=True)\n",
"scores"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can wrap this in a dataframe for easier reading."
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
fit_time
\n",
"
score_time
\n",
"
test_score
\n",
"
train_score
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
0.002548
\n",
"
0.003118
\n",
"
0.764706
\n",
"
0.913333
\n",
"
\n",
"
\n",
"
1
\n",
"
0.003281
\n",
"
0.001449
\n",
"
0.823529
\n",
"
0.906667
\n",
"
\n",
"
\n",
"
2
\n",
"
0.001195
\n",
"
0.000781
\n",
"
0.705882
\n",
"
0.906667
\n",
"
\n",
"
\n",
"
3
\n",
"
0.001206
\n",
"
0.000785
\n",
"
0.941176
\n",
"
0.900000
\n",
"
\n",
"
\n",
"
4
\n",
"
0.001157
\n",
"
0.000728
\n",
"
0.823529
\n",
"
0.906667
\n",
"
\n",
"
\n",
"
5
\n",
"
0.001065
\n",
"
0.000721
\n",
"
0.823529
\n",
"
0.913333
\n",
"
\n",
"
\n",
"
6
\n",
"
0.001199
\n",
"
0.000777
\n",
"
0.705882
\n",
"
0.920000
\n",
"
\n",
"
\n",
"
7
\n",
"
0.001240
\n",
"
0.000766
\n",
"
0.937500
\n",
"
0.900662
\n",
"
\n",
"
\n",
"
8
\n",
"
0.001124
\n",
"
0.000718
\n",
"
0.937500
\n",
"
0.900662
\n",
"
\n",
"
\n",
"
9
\n",
"
0.001053
\n",
"
0.000794
\n",
"
0.937500
\n",
"
0.900662
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" fit_time score_time test_score train_score\n",
"0 0.002548 0.003118 0.764706 0.913333\n",
"1 0.003281 0.001449 0.823529 0.906667\n",
"2 0.001195 0.000781 0.705882 0.906667\n",
"3 0.001206 0.000785 0.941176 0.900000\n",
"4 0.001157 0.000728 0.823529 0.906667\n",
"5 0.001065 0.000721 0.823529 0.913333\n",
"6 0.001199 0.000777 0.705882 0.920000\n",
"7 0.001240 0.000766 0.937500 0.900662\n",
"8 0.001124 0.000718 0.937500 0.900662\n",
"9 0.001053 0.000794 0.937500 0.900662"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores_df = pd.DataFrame(scores)\n",
"scores_df"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"fit_time 0.001507\n",
"score_time 0.001064\n",
"test_score 0.840074\n",
"train_score 0.906865\n",
"dtype: float64"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores_df.mean()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"fit_time 0.000764\n",
"score_time 0.000754\n",
"test_score 0.094993\n",
"train_score 0.006822\n",
"dtype: float64"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores_df.std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```{important}\n",
"Keep in mind that cross-validation does not return a model. It is not a way to build a model that can be applied to new data. The purpose of cross-validation is to **evaluate** how well the model will generalize to unseen data. \n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mglearn.plots.plot_cross_validation()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Our typical supervised learning set up is as follows: \n",
"\n",
"1. Given training data with `X` and `y`.\n",
"2. We split our data into `X_train, y_train, X_test, y_test`.\n",
"3. Hyperparameter optimization using cross-validation on `X_train` and `y_train`. \n",
"4. We assess the best model using `X_test` and `y_test`.\n",
"5. The **test score** tells us how well our model generalizes.\n",
"6. If the **test score** is reasonable, we deploy the model."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's Practice \n",
"\n",
"1\\. We carry out cross-validation to avoid reusing the same validation set again and again. Let’s say you do 10-fold cross-validation on 1000 examples. For each fold, how many examples do you train on? \n",
"2\\. With 10-fold cross-validation, you split 1000 examples into 10-folds. For each fold, when you are done, you add up the accuracies from each fold and divide by what? \n",
"\n",
"**True/False:** \n",
"\n",
"3\\. 𝑘-fold cross-validation calls fit 𝑘 times and predict 𝑘 times.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```{admonition} Solutions!\n",
":class: dropdown\n",
"1. 900\n",
"2. 10\n",
"3. True\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overfitting and Underfitting\n",
"\n",
"### Types of scores \n",
"We've talked about the different types of splits, now we are going to talk about their scores. \n",
"\n",
"- **Training score**: The score that our model gets on the same data that it was trained on. (seen data - training data) \n",
"- **Validation score**: The mean validation score from cross-validation).\n",
"- **Test score**: This is the score from the data that we locked away. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Overfitting\n",
"\n",
"- Overfitting occurs when our model is overly specified to the particular training data and often leads to bad results.\n",
"- Training score is high but the validation score is much lower. \n",
"- The gap between train and validation scores is large.\n",
"- It's usually common to have a bit of overfitting (only a bit!) \n",
"- This produces more severe results when the training data is minimal or when the model’s complexity is high."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model.fit(X_train, y_train)\n",
"plot_tree_decision_boundary(\n",
" model,\n",
" X_train,\n",
" y_train,\n",
" eps=10,\n",
" x_label=\"lon\",\n",
" y_label=\"lat\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Underfitting \n",
"\n",
"- Underfitting is somewhat the opposite of overfitting in the sense that it occurs when the model is not complex enough. \n",
"- Underfitting is when our model is too simple (`DecisionTreeClassifier` with max_depth=1). \n",
"- The model doesn't capture the patterns in the training data and the training score is not that high.\n",
"- Both train and validation scores are low and the gap between train and validation scores is low as well."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train score: 0.83\n",
"Validation score: 0.81\n"
]
}
],
"source": [
"model = DecisionTreeClassifier(max_depth=1)\n",
"\n",
"scores = cross_validate(model, X_train, y_train, cv=10, return_train_score=True)\n",
"print(\"Train score: \" + str(round(scores[\"train_score\"].mean(), 2)))\n",
"print(\"Validation score: \" + str(round(scores[\"test_score\"].mean(), 2)))"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAiAAAAG+CAYAAACqDb+yAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABcbUlEQVR4nO3deXhTZdo/8O9J0mbpvrGUAi1LC7iwFhBQwIVlXHD0VVQc0Zl3fq+74juOzowICL4j44IC7uM2CqIo7uxY2cq+I7RQoNBSpBtdkzRNcn5/hBPSNkmTNjlZ+v1cVy+xOSd5cjjk3LnP/dyPIIqiCCIiIiIZKQI9ACIiIup4GIAQERGR7BiAEBERkewYgBAREZHsGIAQERGR7BiAEBERkewYgBAREZHsGIAQERGR7BiAEBERkewYgBCRT8yePRuCICA9PT3QQ2m3+++/H4IgYNy4cYEeilNnz57FihUr8Oyzz+Laa69FbGwsBEGAIAj4+OOPAz08Io+oAj0AIiK5CIIAAPjoo49w//33B3Yw7TB69GicPn060MMgahdmQIiIQlR8fDyuv/563HnnnYEeCpHXmAEhIgoxixYtQmZmJjIzMyEIAn755Rd8+eWXgR4WkVcYgBARhZibb7450EMgajfegiG6qHnh4Z49e3D33XejW7du0Gq16Nu3L/7+97+jurravo/RaMSCBQswdOhQxMXFISYmBmPHjsWqVaucvobVasXPP/+MJ598EqNGjULPnj2hVquRkJCA7OxszJo1CxUVFU73PXz4MLRaLQRBwO9//3uX7+Pbb7+1FyTOnDmz7QekGaPRiP/7v//DFVdcAZ1Oh6SkJIwdOxafffaZV8/zyy+/4A9/+AMyMjKg1WoRGxuLQYMGYebMmaisrHS5n2ORpcViweLFizF8+HDEx8cjJiYG2dnZWLx4MSwWS4t9x40bZ6//AIAHHnjA/nyeFG8eOnQI06dPR/fu3aFWq9GlSxdMnToVBw8e9Oq9E5EDkYhEURTF6dOniwDEsWPHiv/5z3/EiIgIEUCLnyFDhojV1dVieXm5OHLkSKfbCIIgfvLJJy1e49tvv3W6veNPly5dxH379jkd45tvvmnf7u23327xeHFxsZiYmCgCEK+66iqxsbHRJ8emtLRUvOKKK1yOefr06eKsWbNEAGLPnj2dPofRaBT/8Ic/uH3vnTp1Enfs2OF0f2mb9957T7z++utdPsfYsWPFurq6JvuOHTu21eP+0Ucf2bd3PBe++OILUaPRON1Ho9GIP//8s0+OcXvk5OQ4fR9EwYwBCNFF0kUnNTVVVKvV4nXXXSfm5OSIZWVl4okTJ8S//e1v9g/55557TrzlllvE6Oho8eWXXxYLCgrEiooKcf369WK/fv1EAGJsbKxYUVHR5DV++OEHcezYseKCBQvEjRs3igUFBWJ5ebl4+PBh8d133xUzMzNFAGJGRoZoMBicjvOWW24RAYharVY8fPiw/fcWi0UcN26c/bVPnjzpk+NitVrtzwtAfPDBB8UDBw6I5eXl4o4dO8Q77rjDPmZ3AcjUqVNFAKJCoRD/53/+R8zNzRXLysrEc+fOiV999ZU4YMAAEYCYkpIilpSUtNhfen3pdR555BHx4MGDLcYBQLznnnua7KvX68Xa2lr74++8845YW1vb5McxWJPOhW7duokajUYcNWqUuHLlSvH8+fNiSUmJ+MEHH4ixsbH292s2m1uM12w2t3gNb388DSAZgFAoYgBCdJF00QEg3njjjU4vKtOmTRMBiEqlUlSpVOKWLVtabJOfny8KgiACEN99912vxlBbWyv27t1bBCB++OGHTrcpLy8XU1NTRQDiFVdcYQ9U5s2bZx//0qVLvXpdd77++mv78/7tb39zuo1jZsNZAPLNN9/YH//iiy+cPkd1dbU9AHvkkUdaPO6YeZg9e3ar49i+fbvL52jtIu14Ltxwww2iyWRqsc2XX35p32b16tUtHncMCtr642kwwQCEQhFrQIicWLBgAZRKZYvf33XXXQAAi8WCqVOnYvTo0S22yczMxJAhQwAAO3bs8Op1o6OjcdtttwEA1q1b53SbpKQkfPbZZ1AoFDh06BCefvppbN++HbNnzwYATJ8+HXfffbdXr+vOhx9+CABISUnBrFmznG7z2muvITIy0uVzvP766wCA3/3udy6njMbGxuLvf/87AODzzz+HKIpOt0tNTbVv524cH3zwgcvxeGPhwoWIiIho8fvbbrsN8fHxAICdO3f65LWIOhIGIETN9OrVC3379nX6WO/eve1/njhxosvnkLY7d+5ci8fMZjM++eQT3HLLLejRowd0Ol2TYsiXX34ZAJCfn+/y+cePH49nnnkGALB48WLccsstMJvN6NOnDxYvXtz6m/SQKIrYunUrAFvwoFarnW6XnJyMsWPHOn1Mr9cjNzcXAHDDDTegrq7O5c9ll10GAKisrMTJkyedPt/NN9/sNCBoPo4tW7Z4/kZdyMjIQL9+/Zw+plQq7efJb7/91uLxcePGQbRlmdv8E8rN0ohawwCEqJnU1FSXj2m1Wq+2MxgMTX5fVlaGESNG4P7778cPP/yAoqKiFttIHGfbOPPCCy9gxIgR9ueNiIjA559/jujoaLf7eaO6uhpVVVUAgP79+7vddsCAAU5/f/LkSTQ2NgIAZsyYgZiYGJc/2dnZ9v3KysqcPp+n4ygsLHS7nSfc/R0DgE6nA2ALsojIO+wDQtSMs1svbd2u+W2E++67D3v37oVKpcLDDz+Mm2++GX369EFsbKz91sGLL76Il156CWaz2e1zq1QqDBo0yH6b57LLLrPf+vGVuro6+59bC2xcPd5aIOWK0Wj06nWaP24wGGCxWDz++3RGpfLsI9LZ7SKLxeIyuPSURqPxeAxEoYZnNpFMTp48idWrVwOwdbJ88MEHnW7n6bfpH3/8Ee+++679//fv34/58+fjb3/7W/sHe5Hjxb6+vt7tto7Biqvn+Oabb3Drrbe2a0yejkOr1bYr+GivzZs3Y/z48e16jlBfs4bIHd6CIZLJ/v377X92VyR66NChVp/r3LlzeOCBBwAAI0eOtD/f888/79OCyLi4OHuh5dGjR91u6+rx9PR0KBS2j5q9e/e2e0yejiMcVuUlCmcMQIhk0tDQYP+zs26dAHDmzBls2rTJ7fOIooj77rsP5eXliI2NxZIlS/DOO++gV69eMJvNuOeee1BbW+uTMQuCYJ/ps3LlSphMJqfbVVRUYOPGjU4fi4uLs9eqfPbZZ/Z6kLb64YcfXN6echzHmDFjWjwu3c5wdfx9iUWoRO4xACGSSa9evex//u6771o83tjYiD//+c+tXhxffvllrF+/HgDw5ptvolevXoiNjcXSpUuhUqlw4sQJPPLIIz4b9x//+EcAQGlpKebOnet0m7/85S9NAqzm/vd//xcAcOrUKTz++OOwWq1uX9PdDKCzZ89i/vz5rY5DGrej5ORkAEBJSYnb1yci/2MAQiSTYcOG2YOQJ554AgsXLsSJEydQVlaG1atXY+zYsVi7dq3L2SQAsHv3bjz33HMAgGnTpuHee++1PzZixAjMmTMHAPDpp59i6dKlPhn373//e/v6OPPmzcPDDz+MQ4cOobKyErt378Zdd92Fjz/+GBkZGS6f4/bbb8e0adMAAO+88w6uueYaLF++HKdPn0ZVVRWKi4uRk5ODOXPmoH///vaAxZn09HTMnDkTjz/+OA4fPtxiHABwzz33YOTIkS32HTZsGADgk08+we7du2EwGGA2m2E2m132HQlGxcXF2L59u/3nyJEj9sdOnDjh8jGioOLPLmdEocRx/Q9XTp06Ze84mZOT4/Vzbdy4UdRqtS47X/7lL39xuaZKbW2t2LdvX3s78urq6hava7FYxPHjx/u8HXtpaal4+eWXuxz3vffe2+paMCaTSXz00UftXWLd/dx2220t9pcee/fdd+3v0dmPs7VgJBs2bHD5+q7WgnFHWmNm+vTpHh5J35COtSc/rb0HokBhBoRIRtdccw127tyJu+66C506dUJERAS6dOmCm266CT/++KO9CZkzjz76KI4fPw6VSoWlS5ciNja2xTYKhQKffvopkpKSUFNTg3vuuafV6byeSElJwa5du/Diiy/i8ssvh1arRUJCAkaPHo2PPvoIn376aavPERERgUWLFmH//v145JFHcPnllyM2NhZKpRLx8fEYPHgwHn30UWzYsAFffPGFy+eJjIzE2rVr7asQx8TEICoqCkOHDsXChQuxYcMGREVFOd332muvxfr163HTTTehS5cunOJKFECCKIZQ3pGIOixBEABwaipRuGAGhIiIiGTHAISIiIhkxxugRGGurS3BIyIiXC4+R0TUXgxAiMJcW1uCT58+3T6tlYjI13gLhoiIiGTHWTBEREQku6C9BWO1WlFSUoKYmBj79DsiIiIKbqIoora2FqmpqfaFKJ0J2gCkpKQE3bt3D/QwiIiIqA2KioqQlpbm8vGgDUBiYmIAADNmbIBa7byrIREREQWXhoZ6LFhwnf067krQBiDSbRe1OgpqdXSAR0NERETeaK18grNgiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxAiIiISHYMQIiIiEh2DECIiIhIdgxA/OTkyW14/51bcPLktkAPhYiIKOgwAPEDURTxS84bKDl/Er/kvAFRFAM9JCIioqDCAMQPTpzIRVHxYcwYGYmi4sM4cSI30EMiIiIKKgxAfEwURWzauAjD0yLw6gQ1hqdFYNPGRcyCEBEROWAA4mNS9uOFsREQBAEvjI1gFoSIiKgZBiA+5Jj9mNBbCQCY0FvJLAgREVEzDEB8qHn2AwCzIERERE4wAPERZ9kPCbMgRERETTEA8RFn2Q8JsyBERERNMQDxAXfZDwmzIERERJcwAPEBd9kPCbMgRERElzAAaSdPsh8SZkGIiIhsGIC0kyfZDwmzIERERDaqQA8glEnZj14JSiTrBOw9Z2l1n2SdgF4JSmzauAi9e49qNWghIiIKRwxA2sFiaURdzTlcqLFg2Pv1Xu2bYPkNFksjVKpIP42OiIgoeDEAaQeVKhLT/7gMev0Fr/eNikpk8EFERB0WA5B2iovriri4roEeBhERUUhhEWoIEUURR46sw7tv/Q5HjqzjTBoiIgpZzICEAKOxBvv3f4edu5ah5sJpWERgxVczEJvQE8Oz78KgQVOg0cQGephEREQeYwYkyBUUbMWC12/A2nWvQK+LgUUEZoyMhEUE9LoYrF33Cha8fgMKCrYGeqhEREQeYwASxAoKtmLp5w9DmTYAqQ9+BIW1AdndIvDqBDWyu0VAYW1A6oMfQZk2AEs/f5hBCBERhQwGIEHKaKzB8q+egiZjCFJuew6NZadgKDmOueNsDc/mjouAoeQ4GstOIeW256DJGILlXz0Fo7Em0EMnIiJqFQOQILV//3dobDQiadLjgKBA7dbPkN3tUrv3Cb2VyO4WgdqtnwGCAomTHkNjoxEHDnwf4JETERG1jgFIEBJFEbt2fwFt5igooxNgPLW3SfYDQJMsiPHUXqiiE6HNHIWdu5ZxdgwREQU9BiBByGCoQmVFIXRZoyGKYovsh8QxCyKKInSZo1BZUQiDoTpAIyciIvIMA5AgZDLpAQAKTbTT7IekeRZEoYm+uL93beGJiIjkxgAkCEVG6gAAFkOty+yHxDELYjHUXtw/SraxEhERtQUDkCCk1cYjMSkddXt/cpn9kDhmQer2rURiUjq02jiZR0xEROQdBiBBSBAEDBt6J8xnD7vNfkikLIj57GFkD5vqMlghIiIKFgxAglRcXBdYRLjNfkikLIhFBGJjO8s0QiIiorbjWjBBSBRFbN/2IXolKJGsE7D3nKXVfZJ1AnolKLF924fo3/8GZkGIiCioMQAJQhZLI+pqzuFCjQXD3vduRkuC5TdYLI1QqSL9NDoiIqL2YwAShFSqSEz/4zLo9RcAAA0N9Th2bCN+PbIGNdXn7NvFxnXFZQMmIjNzHNRq28yZqKhEBh9ERBT0GIAEqbi4roiL62r///T0bNxww//CYKiGyVSPyMgoaLVxvNVCREQhiQFICBEEATpdPHS6+EAPJSSJogi9/gJqan4DAMTGdoFOl8AgjogoABiAUNgzGmuwa9cX2L79U+gNVYBotT+mi0rCVSPvxbBhU6HRxAZukEREHQwDEAprBQVb8cWXj8NsbgQA6LJGQ5c1GgpNNKzGOujztmDDz4uwcdN7mHrn6+jTZ3SAR0xE1DEwAKGwVVCwFUuWPgRAhCZjKJInPwFldEKTbaL6jYGl7gLKV72OpUsfxj33vMUghIhIBmxERmHJaKzBl8tnAAoFNBlD0en2mS2CD4kyOgGdbn8e6oxB+HL5UzAaa2QeLRFRx8MAhMLS/v3fobHRAIgikic/AUHhvp29oFAiafITaDQbceDA9zKNkoio42IAQmFHFEXs3LUMQqQOusxRLjMfzamiE6HrOxI7di2DKIp+HiURUcfGAITCjsFQhQuVpyE21EOX5V09hy5rDC5UFMJgqPbT6IiICGAAQmHIZNLb/6zQRHu1r7S9yeRdC3wiIvIOAxAKO5GROvufrcY6r/aVto+MjPLpmIiIqCkGIBR2tNp4JCT2hKCOgj5/q1f76vO3ICEpHVptnJ9GR0REAAMQCkOCIGB49l0QTXroj+XCUnfBo/3MdZXQH9+OEdl3+bU9u9QSvqrqLPT6Cyx4JaIOiY3IKCwNGjQF6zcsgMViRvmq19Hp9ufdTsUVrRZUrHoDESoNBg68xS9jMhprsH//d9i1+wtUVhTaf5+YlI7sYVMxaNAUtoMnog6DAQiFpeLiQ7BaLIjo3AvGwv0oWzEPiZMegyo6scW25rpKVKx6Aw2n9mPatLf8EgQUFGzF8q+eQmOjEdrMUUgec9eldvD5W7F23SvI+WUx7viv19iJlYg6BAYgFHaMxhos/+opaHoNQcptz9kCkO/m4+zbD0CXOQq6zFFNLv76Y7kAgDvveBW9e/v+4l9QsBVLP38Ymowh6DTpcZft4CtWL8TSzx/GPXezHTwRhT/WgFDYsXVBNSJp0uMQFEpoew1F2kMfImH8n2AqPYXy7+ej9MuZKP9+PkxlhYgbfQ8AoKbmvM/HYg+GMmzBkLt28Cm3PQdNxhAs/4rt4Iko/DEDQmFFFEXs2v0FtM06oCo00Ygddgtiht4Mq7EWoskAIVILhSYGgiCgsfw0du5ahuHDp/m0AFUKhjpdDIbcERRKJE56DCVvP4ADB77HiBH3+mwcRETBhhkQCisGQxUqKwpddkAVBAFKbSxUcZ2h1Mbagw1d5ihU+rgDqqtgyB1VdCK0maOwk+3giSjMMQChsCJ1QXXsgCqKIiz6apirz8Oir3Z6YfdHB9TWgiFX/BEMEREFG96CobAidUG1GutgNdah7vAG1O5bBXNlsX0bVWIaYgZPRvTl19kDD390QHUWDHnCMRjS6eJ9Nh4iomDCAITCilYbj8SkdNTu+REVqxZCNDdAlzkK8Vff22Tmy4WcD1G1eQlSpjwDba+h0B/LRaKPO6A6BkPeYDt4IuoIGICQLERRhMFQBZNJj8hIHbTaeL90GxUEARnp2diz5ytoeg1F8uQn3E57Lf36BSTdOAOGY7m4ZsLTPh2TFAzp87ciqt8Yj/fzRzBERBRsGICQX8nd/dNorMHBQyuh6TUEnW6f6XLmiTTttfTruahY+ToiVGqfd0AVBAHZw6Zi7bpXYKm74FEhqrmu0i/BEBFRsGERKvlNQcFWLHj9Bqxd9wqMKd2RPOVZdJo6D8lTnoUxpTvWrnsFC16/AQUFW322Psr+/d/BbDYiefKTHk17TZr8OGC1YuCVN/ulA+qgQVMQEaFBxeqFEK0Wt9uKVgsurF6EiAhbO3iuGUNE4YwZEPILT7t/lv/0GpYsfRAxMZ1RW/Ob/fG2ZEjaOu1VlzkKJ0/tgCiKPs86aDSxuOO/XsPSzx9utR185epFMJ7aizv+6xWuGUNEYY8BCPlc8+6frjIRptKTaCjJByDA0rUPksff3671UaRpr8lj7vJqvLqs0SjPnw+Dodovs0769BmNe+5+C8u/egolbz8AbfN28MdyYTiWi4gIDcaPewTffvcc14whorDHAIR8zpPun4aTe1D69QvQZgxBko/WR/HXtFdfFND26TMaM55chwMHvsfOXctQnjff/lhiUjqumfA0YmI646uv/8I1Y4ioQ2AAQj7lyW0Qq7EOpd++BE2PK5Bw3Z8BhcLp7Q+pULRsxTws/+opzHhyndtbD76e9urrAlqNJhYjRtyL4cOnwWCohslUj8jIKGi1cWhoqMWC129oNWvk7THxJblmMhFRx8AAhHyqtdsgVmMdyle+AVhMMBbuR8l7/w+A8+ZggHfro/hy2mtBwVYs/+opv9wKEQQBOl18k2xLMK8ZI/dMJiLqGBiAkE+5uw1iOLkHZd/Nh9hohC5rFHRZY9w2B5M4ro/ibrE4X0179bSA1le3Qtq7ZoyvF9Bz5M9AjIg6Nk7DJZ9ydRtEqvlQpw1A2sOfIGXKs4jqNwba9EGI6jcGKVOeQdpDH0PT/TKUfv0CDCf3NNnf0/VR2jPtFWhZQOsqIJBuhWgyhmD5V0/BaKxx+1ruBOuaMVIgpkwbgG4PfYyUKc+0+Dvr9tDHUKYNwNLPH0ZBwVa/jIOIwhMDEGoTq9WK8vJTOHNmD8rLT8FqtQJoehvEvq2xDmXfzYc2w9YcrLWLujZjCMq+m98kiPF0sThp2qvx1F6UrZgHc12l0+3MdZUoWzEPhlN7cecdr9lvIUi3QpK8uBXS2GjEgQPfu93WHV8Uz/paIAIxIupYeAuGvFJZWYQffpiNwsJdAKyXHhBUyMq8BpMmPdPiNkjd4Q0QzQ1eXdTPvv0A6g7/jNhhtsyEN+ujeDPtddo9b6F3b1vmIVC3QoJxzZhgrkkhovDAAIQ8UlV1Fp9++j+orCy0/UKhbBJ/QBCRn/8z8vN/xlVXTbffBkn+/T9Qu28VdG1oDla7byViht4MQRC8Xh/Fk2mvAwdOgUYTY/99m/uIZI5CeV7b+4gE25oxrgIxURRhNdRAbDRCiNBAoY21B1xy1aQQUfhgAEKt2rTpPeTkLAIgAoLtrp0u86pmRaRboM/PBQBs2/YJuncfjOJTe1H21WyYK4sRf7V334p1maOgz9sMq7EWosXcpvVR3E17dfY8DQ22Wxm+7iPSmvYWzwKAXn/BZ9NjmwdiVmMd6g5vQO2+VTBXFtu3az5zqb2BGBF1LAxAyC1b8LHw4v8J0GQMQfLkJ2AqP43atW9AFIHYiU8gZcqzttbqq16H8eReFBXtQ/fug/FbSR6Atl/UrcY6VG14v0mhqLecTXt1JE0z3bFzKQCgdvUCYNIMaNMHefT8vrgVMmjQFOT8shgVqxe67QMCXCqeVak0MJkMWPzmzaisKESEAmi0tn96rGNNin3mkrkBukzbzKXGvA2I6HcdzBfONpm51N5AjIg6FhahkktVVWcvZj4EQFBA02soOt0+E4qoeNRu/gSGC2VorC5DzaaPIYoilNEJ6HT789D0GgIIChQV7cPAK5vWcHhK2r5y7dstCkV9qemCeT2gVClhqK5A7eZPPF78zRe3Qrwunj25F6JoRs4vi2FIToM6sSsarYA6sSsMyWlNFvrzllSTYjxzEKVfvwBN98uQfNNfgMpCGI9ttv29n96D5Fv+2mTmkvHMwYv7XwrEnC2ox0X2iAhgBoTcWLPmXwCki4OA5MlPQFAoYTi5B4aS45gxMhILtptgOVcA46m90PYaenGF2Sdw9q37odDFY/ee5YiNT/O+viF/C6BQwlKS36RQ1Jea9/swlZ5E6bGtF9/Xcft7csdZH5G28rR4VqmMhAgRET2uRBdp3Mu3XBz3OXS67kEkXf8/be5TotXGIz6hO6p2roA2YwiSf/8PlC99GobSIigF4MkREXh9x6XjI3Vmrdn1DeITukOrjWvRvEzKzuiikgBRhF5/KcBiQzOijokZEHLKarUi//hmQBEBKFTQZY2GMjoBoiiidutnyE5V4tUJaozspkCsWkDNlk/t32RtRaRXwWrSA6IVmkgtDMdyYam74NFrm+sqoT+2Df0yx+OpGRv8Enw0n2aqiIq3va9uEXh1ghrZqUrUOrwnZ5z1EWkvqXh24oSnoSkrQvn381H65UyUfz8fmrIiXDv+MQiCYL/wtxh3twjUbv0Miqj4Nk+PFQQBXTpnAlYrkiY9jobTB+wBp0UEJvZW2V9HFEX7LBhYrejSOQsnTuTas0rNszNit37QG6ogRKgRd810JE95FsaU7u3K2ADOMy3kO66m3RO1BzMg5FRl5WmIFpP9/6UmWcZTe2EoOY6503QQBAGzx2kwaYkecMiC2LYfA33+VmgyBqO86FeoVGrP6xtWLUJkpBZTprzQZJaKLzWfZipldaT3NXe8GpOWFKD+6EZEDxjXYn9zXSUqVy+C8dReTLvnLZ9+c3dXPLtjx2cwmxvQ2dW4x0Vg0pJL2Ym2TI8VRRG/lR6HLmuUQ4CjwqsT1MgtMmPOJhNeGBuJyUsvvY4UdBafPYi8/J+h7TX0UlapeXbmhgdRsXohqrd8hk63P4+UKc+0ubMs28T7V1XVWaxZ8y8cK9gCq7nB/nuFSo3MPmMwceJfER/fLYAjpFDGDAg55ZgiB2wFiY7Zjwm9bUHEhN5Kp1kQqSAxMrU/rGYTJk181vP6hkL/1XwALaeZ2t9Xt4gm7ys7VYGqH19B6bcvof7oZhhO7UP90c0o+24+St5+AJbiI367PQRcKp6Nj+9mL+r0aNwO2QnH6bGeZgUMhipUVZ6BLmvMpYBzXCQEQcCccRpsL7Z1mHV8HcAWdNbVlkLTc6BH2RnHhnNtaWjWtH6nO5KnPItOU+f5LKvS0W3a9B7eWDgZefk50PTJbnJ8NX2ykZefgzcWTsamTe8FeqgUopgBIad0usQm/2811rXIfgBwmQWRikhVsSkAgOTknm1qDuYPzaeZunpfc8fb3lfD2TwY8rfY949P7OG0j4i/eTzuZlkQb6fHSrNgBHUUarf8B9ndVE0DzjSl0yyIFHTGX/0Hj7Mzjg3nvGloJvd6PR2NNPVe02sokic/4fL4lq9642KhOnDNNf8vEEOlEMYMCDml0zl84ChUqM/b3CL7IXGWBdHnbwFUkYAyEgAQFZXcan3DxAlPY8aT6/0afABNp5k6yyI4vq/sbhFQxyag22NLkHTjUwCA++59DyNG3Ctr8NGWcUvZCW9btkuzYBqKDjXJfgAXA86xaqdZEHvQmdDF4+yM1HDOsX6otYwN28T7V1XVWeT8stg+683d8e10+0xoeg1Fzi+LUVV1VuaRUqhjAEJOHTz4AwABCm0sYDXDkJ9ruxiNV7eY7SFlQWoaRBjP2eom9Me2QdtrGIzHc6FQqZGQ0B3ApfqGRx/5AU8/vQVPPLEGTz+9BY8+8oNsF3XH1ueXbjFEOH1fc8dFwFByHI2/FUBQRgAA1Grvepr4SlvGbTy11+s+JVptPBISe8Kwf2WT7IekaRZEZX8dff4WKKOToNDEOB1f83EBtoZz5spiWI219udvbZG9QKzX05HYZr/BPuvNHdust8cv7vey38dG4YUBCLUg1Ujo+o1BTPatAAClICI7VdHiYiRxzIJUr30TEEXEjrgd+mPbkNnnaigUTU+15vUNcrbullqf1+dtcZlFkDh+a6/P3+qX1ueekmvcgiCgV8ZwNBrqmmQ/HB9vkQXZ9DH0+bnQ9h0JAF5nZ0STwb6Nu4xNe9fr4ewY96xWK44VbLHPevOEVIB8rGAz6uoqOBOpHTrabC7WgFALjrUG2vRBqN7yOSzWRswdr3EZKDSpBYEBusuuRfVWW2fRiROflnH0rZNan69Z+zIgWpvUUDjbVqpdgHACYyf+NWDrnMg1blEUcf7c4dYDzia1IKcACIjs2tdpbYqzcRlP7YW14WK9SaTWvo27jE2g1uvpKCorT8NqbrDPevOUNOvt1VfH2n/HmUie66izuZgBoRYcaw0EdRTUCSluL0aSS1kQwFSwDcaTe3Dt+MeCcprewIG3QKWA05qW5mwzYpRQKYArr7xZphE6J8e4T5zIRXHJ0dYDTscsSKoCkSol9AW7vM7OqBLToHC49eaus6zjuekNb+tgOipp9ltbj2/0kJugTUhBzFVTYUjogjVr/oVXX7sO+/Z92yG+0bdFR57NxQCEWmhea9BQUeL2YiS5VAsCmBsMGDjwVlx99Z/lGLLXzp49DLPF6rSmpTmpL4jZYsXZs4dlGqFz/h63KIrYtHERhjup/WiuSRZknBomsxnGY7kua1OajOtiLYjhWC5iBv/Ovq3UWXZ49l1O93c8N73hi/V6OgJp9ltbj6+5+DAMF8pg2L0ChoLtiFCIMDcasOrH5/Dyy1djwevXY8OGN6DXV/l66CFJms2lTBuAbg99jJQpzyCq3xho0wchqt8YpEx5Bt0e+hjKtAFY+vnDYReE8BYMteBYa4Da88iIVyBZJ2DvOUur+ybrBPROEHCuTkRF+XFbp8wgW5pdusj2SlB69b56JSixaeMi9O49KiDvSY5xnziRi6Liw3jfze0diZQFmbREj4JKKzLiFSiqsWJwF8+zM3t/ExF12Xjb+/Ogs6x0bnrd2t8H6/V0BImJPaFQqaHP3+L18VVoY2EsLbQv0RARnYjGukqoIiLQ2NgIBQBj/Xls2fI+tmz9AGndrsTtt88PygypHJrP5nJV8CvN5ipbMQ/Lv3oKM55cFza3YxiAUAuOtQbqqGicqrNi2Pvepa4jFEBdzW+wWBqhUkX6aaRtY7E0oq7mHC7UWLx+XwmWwL0nf4+7rQFORryAJ9c0wHIxu+5NdmbSEj1M544holOGR51lpXNz7bpXYKm74FGhpC/X6wl3CoUCmX3GIC8/x6vjq8/fCiWs9iUathRZsbek8uK6QY24NUuJH45Z0GgBlAIgdOqF4uIDeOONSRg//rEO2UOkeTdmd7zpkRNKGICQU9Ly8EhKR/KEKRAv3nuXiKKIuq1L0CeiHP+51XbBEUUR07814TdzF0yY9Hd06ZIZdMEHAKhUkZj+x2XQ65uuTSOKIhoa6tDYaEBEhBZqdXSLC1ZUVGLA3pO/x92eACc2Kg7aqCRENZ72LnhJUKD4x5fRaNQjMlLrURM66dz0uLW/j9frCXcTJ/4Vefk5KF/1Ojrd/jwEhdLW58VQA7HRCCFCA4U21vZv3mpBxaqFgCjCgkvB59xxkZi0xIyJvVXYWmRBXrkVFhH27AgqiqDuORANRYeRk7MQQMdqZNbe2VzDh08Li2CaAQg5JS0Pv/Tzh1GvUiNx0mNQRV/qjmo4uQemqvN4bZoOQ1MvnUavTgAmLSmGQqFEbGyXQAzdI3FxXREX1zXQw/CaP8ftKsDxhFodjc8++QPOtyF4UasMmHDDUxg8+HaP+sA4nptlK+a1ODcl/lyvJ5zFx3fDlVfcjIMHv8f5L5+HpvvlqD+yEebKYvs2qsQ0RA0Yi4biIzAW7odSEDEktWnTuRHdFJizyYQ5YyNx8zIjhndTOGRHGqBOuwwNRYegSuqOnF8W48orb+wwt2M4m8uGAQi55Gp5eEEdhZr1b7vsijo8LSKgtRLUdu0JcDzNzgBo8rvExB5ev6arc9Nfrf2tVisqK09Dr6+ETpdoq5VQhGcNf0HBVhw6/CNUCV3RcOYQGs4cgi5rFOKvvvfS8c3fguqtn9t2iNTCYtK3aDo35+K0/L3nlLCIwAvjNE2yI3UH1kDb9yo0nj8BiCLWrHkZU6e+Hrg3LiNfzOZiAEJhT2qffuDA99i5axnK8+bbH5v7O+d9Hl4YG4FJSw7jxIlcrr/RgcidVXJ3biYmpftkvR45VoMVRREGQxVMJj0iI3XQauVtzOc4jgsXivDl8hmI6NQbptIT0GQMcbsWTNnK12Eu3IMh3Vwv0fDyNhOGpwrNWvIrsbekHJr0wTDkb4G2z3AcK9gMq9UatoGdI87msmEAQq1yXB5er6/C0s/+hDTlKbd9HpgFITk4npsGQzVMpnpERkZBq41r93m3adN7tjooALqsUdBljWmSAcjLz0Fefg7Gj3u0TfULwdJ8quU4BAiVRdB6MDsjduhNKDu1B3PHuV6iYdISPW7Jarqe0NxxtgJk8wXb+jGa9CEwFOzEhQtFSErq6c+3GxQ4m8uGAQh5TBAEnDt3BCW/HcOHrXThZBaE5CS19vdVWtrfq8EWFGzF8q+eQmOjEdrMUUgec5dDcLMVa9e9gpxfFuOO/3rNr/9+HMeh6XsVlA21UOji0Fh+utW1dkRRRF3u0tabzqUq8OOxRvz96ktBiPT7/YfWAgCUUbbjW19f3iECEM7msgn/XBf5jL1JVZrrDxyJYxaE3Q8plPh7NdhgaT7VfBxJEx6Cpa4CVn01dB7MznC3IKLENt1ag+1nrVh7wtLi942GOkBQwHD6AABAp0vy3RsMcoMGTUFEhAYVqxdCtLqfNRaus7kYgJDHpCZVL4x1/YEjkbIgRcW2LAhRqPDnarDNm0+5C25SbnsOmowhWP7VUzAaa7x8F85Ji52dP5+PL5fPgDp9sH0cYqMRAGCpq2h1LRhRFFttuS+ROubO3tjQ5MuIrRZEhQi1BvX7VwIAli57FNu3f+qz9xvMpNlcxlN7UbZiHsx1lU63M9dVomzFPBhO7cWdd7wWVrO5eAuGPBKq3UOJvNHe1WBbK6IMVPMpV/UmltJCXMj9EtEDrnG6IrHL53Oz4GCL9+HQMXftCQsm9lHZf2+bEaNHRJe+MFecgTGxq2y3n4KB3LO5gg0DEPJIqHYPJfJGe1eDdVdEGajmU1Kdh8lkQERKOpTRSbDUVQAArHXlqN22DLVbl1zaQVCg/tccqLv0cRqISNmPDC+/jPROEDB7YwMm9FY2rQXppsJhsxmN5kZoelyBpAkPo2L1Qiz9/GHcc/dbHSII8fdsrmDFAIQ84qpJVXHxQeze8TGGjbgfaWlXOt03kN1DibzR3tVg3RVRytF8qnm/ksrKYiz74lFEdO4NoaIIjWWFiEhJh2g2wdpg+yKh63sVdP0cZvjkbUH9rznQH9uGlCnPQNtraNMXsZgh1pbhVK33X0ZMFitMFkB98cpzKQtyCuq0y1G7byViht4ctmufuOLP2VzBjAEIeax5nwdRFLFq5QsorSjGoYPfYtiwqWH9j4XCX3tXg42KSna5jT+bT1VVncXq1fNx/MQWWM0mh52VUEYlwPRbASK79EHjxSAEEKHJaH2GT+nXL6DT7c83CUIEVQSS7l0Ai74asJhR8fVsWzGp9JIAukQD/7pBAzT7OEjUCPi1zNrkd9J6Qmerz8JcewFWYy2U2tiwXPukNb6ezRXsGIBQm0lFqbb1HTjllkJfm1eDzd8ChUqNhITuLrfxV/Opn39ehM1b3gdgy5Y0z2boj+UCggDTbwXQ9ByIhpI8aLpf3mqPj063z0Tp13NR9t18pD30YZPASRWbAlVsCkSrBYqUXlCdO4Zbp8xDY6MR69f+EyV19bj3G6NX7zNCYcuuiiYDoI213X7qexW271waNmufUFOcBUNt4jgl99UJak65pbAgrQarz8+Fpc6zNXHMdZXQH9uGzD5Xuy1AdWw+5Q13zae++eYf2Lz5PWgyBiPt4U+QcuuzTab0Jk95Bl0fWIzIbv0B0QpFbCeIZlOrPT6ASzN8RHMD6g7/7PR9l309F6biX3HX1Ddw2WWTMGjQrbj3vk8AALGj7wFUGqjTBqDLfa+hy30LoE7ujgEpKuz+sw4DkgWoIiLQ+b4F6HLfa1CkXQkICojipQyJLms0qirP4MiRtV4dMwoNDECoTZpPyeWUW/LWyZPb8P47t+DkyW2BHkoTEyf+FQBQvuoNj/ozVKx64+J+T7vdVmo+ZTjmXXBjOJaL4dl3tcgA7N//HQ4e+uFiv5Lnm9xKsRrrULP7O5T8+yGc+/BhmIoOAwD0h9cjIrE7BFWER6+vik6Eru9IVG1Zgrojm2A4tQ/1Rzej7Nt/ouTtB2A5e7TF7IzOnbOQmJQOw/HtgLURKVP+BnXXTFgNNWgoL8JrEyIxNFWF1yZqYW5shD5vE1RxnZF00/8CAAwFO+3PJWVdvvr6ab/1Q6HAYQBCXnPWkIyNx8gboijil5w3UHL+JH7JeSOozpn4+G4YP+5RGE/uQenXc932Zyj9ei6MJ/fi2vGPebQmjK+aTxmNNfj+h+cBtOxXYji5B8Vv/xEXcj5EZKcMJE95Fp2mzkPylGeh63sVGivOoPjtP8Jwck+r4wVsM3zEhnpU/PAvlH45E+Xfz4f++HZkZY7HjCfXt5gaKggChg29E43lp+0NzZz1DZG6oep3fYPiRdNQuuwfiEjpiZo9P9nPB+n2k6bnwBb9UKxWK8rLT+HMmT0oLz8Fq7VpbQkFP9aAkNek7Mf7Dj0A2H6dvBHs9UNSW/WcXxbj7Fv3Q5d5VYu1YPTHbJmba699HFdf/WePnldqPrX084dRtmIeEic9BlV0YovtzHWVqFy9CMZTezHtnrdazALZt+9biECLfiWGk3tQ+vULiOzcG6rGOkQPnAht+iD7460VmDojZSEiuw2AqSQPyTc/jfq8zThbcti+unFzWVnjsHbtv+zTmZ31DZG6oU5aoocmawwUgmCrVxHFizU4V0N/LBeqxDQk/u5JnHvnjzhw4HtkZY33+wKBJA8GIOQVd+3YuQgdeaJ5/dDWYjEoz5lrrvl/uPLKG7Fmzcs4VrC5Se2GQqVGv6xrMWnSM16vANyi+VTfUdBled58ShRFbN+5BLBamvQrsRrrUPbdfGjSB0MwVEFfXgJx8yfQ9BzY5LhKBaZlK+Y5LTBtTspCpPz+b6hctRAVqxch4bo/o/JYLqqqip0W3iouZmQUmmiH7IfK6WdGdqoC+05sQ9cZ3yBRX43yVa+j/IdXIFot0B/LRcL4PyEiJgnazFH4ZeM7WH2xU60/FggkeTEAIa84y35ImAUhTzQ/h4L5nImP74apU1+H1WrFhQtFqK8vR1RUMhISurdr2fi0tCswZvR/Y/v2T6E/thX6/M32x3RRSbh2/GMYOvROiKIFVVVnERmpg1YbD0EQYDBUoebiujOOgUPd4Q0QzQ2Ivmw8yn94+WJ26TiMp/a2yHJIXVbPvv0A6g7/jNhhrtcXkbIQSl28fR/TueMAbHUo48c/2mIfxxk/7rqmOmZBqnO/QMKYu9Hp9udR+vVcVPz0OqCMRPTl19q3Nxqq/bZAIMmPAQh5zJPF6JgFIXdaqx8K1nNGoVAgKamnT1Zqbb4SblLmKAgKJSz1lTAW7of++A788stb2LlrGWprfrPvl5iUjuxhU5GRMdz+O6uxDqIowqKvRu2eH6DtexXq93yL7G627NKWIhGHt34GTcaQFsfV1kJ+lL35l7PjbpvhY8tCCIJg38dQsAMAcPDQTxg37pEW+2q18YhLSEP90c1AXanT7IfEngXZsQxxo6ZCcXH2zdm37kf0ZeOh0ETDXH0e+vyt0PQagk63z/Ro+nDOL4tx5ZU38nZMEGMRKnnMk8XoOCOG3HF2DnWkc8bZSrjR/a9GVNYoxA65CTGDJkOI1MBiNcPStU+TAlJjSnesXfcKPvjwPgCAIioB1du+RMm/H8LZxfdCqPkNgkLZZIXaueMiYCixZUGc0WWOgrmyGFZjbYvHRKsFlasXQVCpm2QhdJmjYKmrgCIqAVUXimAwVLfYVxAEDB18GwzHci+OJ7LVFXPNZguqc78AcCk4Mp45CFEUUbnh3wCA5MlP+nyBQAocBiDkEU+yHxLOiCFnPK0fCtdzxtVKuKIowlxfherdP6D0qzlQp13mtKdHypRn0O2hj6FK6w8AsBpq7K3VI+NS0GgFTAW5GJaqajrTpFsEard+5vS4SrdwHBeiAy7N8DGc2ouUW59tcqtH+rOmx0AAtg6tzgwdeieUgojsVKVHnxnZqQrodyyzz2bRZY2GubIYZn01DKf2tGuBQApODEDII55kPyQd6Rstec7dOdQRzhlpJVypCZjVWIeqbV+iaNE0nF38B1T9/D40GYPR6faZLi+0yugERA+5ERAEaNIHIe3hTxBz5Q0wVZdhxshImBsbcWuWsulMEzdZEKnA1FB4oEmPj7NvP4CG4iPo9F+zoM0Y4nSfyNRM239ddGgtKfkVFhGYO17t0WdG8yyIFOg0lhUCZlObFgi0mhtw4UKRV/uRfFgDQq2Svrn28nL1y14JyqC+r0/y6ej1Q81XwjWc3IPSFS8ClkYAIpQJqbBU/YaEcX8CBNffC63GOpR//zI0GUPR6faZgKCw99d4dYIaW86Y8eOxRvz96ku3PKQsiLNaEH3+FkAZgcrVC+2/U8akIGH8nxB9xXVQqFsGF/r8LVDGpKCh+IjLDq1t/czIiBdQdLEWRAp0xEZbS3d/LBBIgdXuAOTMmTPQaDTo1KlTq9uWlpbCaDSiR48e7X1ZkpHF0oi6mnO4UOP96pcJlt9gsTRyNdwOzt3sKUmwz4hpD2kl3KTRU1F/dBPKv7dNJYVCCYgiLBdKAADnPnwYqsQ0xAyejOjLr2tx0ZVmukjNxwwn9zSZYSLNKFl7woKJfWwf71IWZNKSpjNipBbyEK1QxnZG1OXXIvqK66CK6+zy78hcVwn98e2IG3U3anI/x9gJTzvdtj2fGREKC/THd8BwLBeq+K6o2fkNAP8sEEiB1e4AJD09HVdffTU2btzY6rZTp07F5s2bYTab2/uyJCOVKhLT/7gMer1n7aMdRUUlMvjo4NpaPxROWZDa2lIAQFXOB7DUltt+KSgAUWy5gFz+VlzI+RBVm5cgZcoz9oBBFEXU7lvVanfRkWlKzN7YgAm9lS6zIBCtqFj5BiAIgKiAKqkb4kff5bbA09Z2fiEElRqm4l+ddmiVqFSRuO+BZVj2+YNQGU5hVJoCy4+asWiyBqO6u36N3CILHltlRPW6N2GurwYEQFVfBYUy0i8LBFJg+eQWjDdFY+FaYBbu4uK6et1wiQjwLPshCccsSEHBVny5/ClAUEAV19m+jL0mY4jbfhYVqxc26VZqNdTAXFmM+KttS9O76i46e6zabRak/uhG6H/9BQ2F+xATnYLa2vNoOLUPpV+/gKTJT7jvzFq4D5Gde8N45qDTDq2OoqOTYDJW4XytFSvyrMhOVeCRbPc1ZIO7KPCfAybsO1cFALju2icxbNhUfPfdc8jLz4Gl7oJHhahSdqdf1rXt6tdC/iVrDUhNTQ3UarWcL0lEAdTR64ekabea9MGIu2w8yn98FVAoLi4g17KfhaFwP+pz3kXU+P9Bym3PNelW6lgL4Sz7IXGbBUlVYu+Pr0BQ6TBt2tvo1WsUDIZqHD++ET+t/D+cffsB6PqObNZhdCv0x7ddzJaIQOVZpx1am5Myp1u2fIDdu5dh7niNx8Wok5boceWVUzBmzH8DsC0QmJefg/JVb7jtAwJ4t0AgBZYsAUhDQwM2btyIgwcPom/fvnK8JBEFgWCoHzp5chs2rP0nrpvwN/TqdVW7nssb9mm36YORdOMMnH33z4hI7IbGCyUtFpADbMFa1fq3IV44i8b1b6PLn95p0q00asBYAJ51F3WZBRlv+/0dt75oDyB0ungMHDgFWVnjceDA99i+cynK8+c7PKECEK2IT+iBkSPuwcCBU6DRxHh0DGJiOuPXQ98hI17wuhj1eP5aWK1zoVAo7AsE5uQsQunXc5E0+XGXmZqKVQttCwRe+zibkAU5rwOQOXPm4IUXXmjyu61bt0KpdH9vF7D9A7vrrru8fUkiClGBrh9qvupuRsZIv2ZUHIOdkpLDMJmMSJv8BOqP/AKx0QjRYrbXcDRnOLkHlsqzsIiAqvIsqrd9ifhRU+3dSqOH3ARVYhrq87YAteedZj8kE3orMaKbAn9dZ0Sy7lLmQcoubd/2Afr3v77JsdBoYjFixL0YPnwaDIZqNDTUwWq1QKFQQq2OhlYb5/WxM5n0sJgbcKpK9DoAVasaYDLpoblYiOuvBQIpcLwOQERRbFLHIQhCq3UdWq0WvXr1wtSpU/Hss896P0oiClmBrB+Sc9Vdx2Bnzap5KK0ohi7rKiii4lG7bxW0vYfDULAd8WOnO923+uf3YBFxcawm1G1fhtiRd0CXOQr6vM0QG+oQM3gyLvz8ASBanWY/JIIgYM44262MYe/rWzzuLrskCAJ0unjodPHtPiYaTTT+cP+nTntxiKIIk8kAs7kBKpUakZHaJu8nMbGnPfiQ+GuBQAoMrwOQ2bNnY/bs2fb/VygUGDNmDDZt2uTLcRERtYvcq+42DXZOA7jYDOti8WjM0JtgKNjutJ+F4eQeWC6UYHg3hW2sRWbsKWlE9bYvoUnNsr0fkwHq9MFQwoohHncXVWLfb1bcc+8HTS7mcs5OS0sbiLS0gT57Pn8tEEjya/ff1qxZs/DAAw/4YixERD7TvPOqPzut2oOdiw3BslOVUAqAoI6yF48qo2y3XZr3s3DMfrwwzna75IVxGlhEoH7HFzDrawAAFWvexG8fPOJld1E1zFYRFksjunYdYP+Jje3i82MgN2mBwB49hiIpqSeDjxDU7iLUWbNm+WIcREQ+I9equ1arFevXv4Y9O/8Dk8Vqn2osFXs2FB2CunMv25isVqgS06DP39qkn4Vj9sNxrCO6KbC7pBE1274AFEoYCw9CKYjoEacIyIyiQBXzUvhiK3YiCjvOeo/4ssdIVdVZrFnzL+Qd2wSFtRGCAGSnNg0gslOV2L9/JeLG3AtVYhoMx3JtNRw5H9r7WTjLfkhjlWo4FBVnoExOh2iogcJQiVNVVtlnFMldzEsdg88CkM2bN2PJkiU4cOAAKisr0djY6HQ7QRBw4sQJX70sEVETnq6629aMwKZN7yHnl8UAgIik7mgsPw2IaNLn4lIWpA6GvM32wCN+zDRUbV6CitULkXLbczCc2tci++E4VlsWxApVfBc0lBdCWtf1vvs+gEYTA1EUYTTWor6+AgAQFZUEjSamxftqb82HnMW81HH4JAB55JFH8M4773jU5dTbf/BjDn6JqAg2LyMiz+wsPemy86pjFiRq3TwM79TLq+f+9NhW5BzdDE2voUic+BhKP/gzYtXAgGTnAUR2qgL7172JTv/9Hqo2L0Hlz/9G8i1Po2zFPJR+PRfWyqIW2Q/HsUpZEPHUriaPTT63G12czVKpqQJqvHpLrRJFEV9t+QQjuqnw6gQ1cous2L9qNv40ZjqzIORUfWODR9u1OwD57LPP8Pbbb2PAgAFYuHAhnn32WezZswfHjh1DUVERDhw4gNdffx2lpaVYsGABJk6c6NXzX311CmI1mvYOk4g6AFEU8bc3PsPINJXbHhkj01T4piQXT98xwuOL6OnKSnz4/RZ7F9Pq7V/BbDKhBsBsFwGE1NWz9Ks5SJz4MCp+WgBARNKNM1CxciGUVpPT7IfjWG1ZkIv1HgoVYDXjhrHdkBTVcqVaf1iTl4dfK89h9cWAbs64SExacg6mrhcwsV8/WcZAoaXGaARWtr5du8uG//3vf0MQBCxbtgzXXnutvdV67969MW7cODzxxBM4fvw4brzxRjz++OMoKytr70sSETm1Nj8f208XYfbYSJeBha1TaCS2ny7C2vx8j597xrffAgCSJz8BEQLqd3yBWDUwspUAIjtVAev546j44VVEds2C8dQ+VPzwKpRKwWX2w3Gscy7OiFEAgDoavVM6IVGn83jc7SGKImavXtkkoJMCuNmrV3JtL2qXdgcgBw8eRI8ePXD55ZcDuHSLxfHEVKlUeP/996FUKvHiiy+29yWJiFpwdrF0xduLqNVqxY9H86DLGg1ldAJqti+3ZT8anGc/JFIWxCICUChgOpcPiFYAItDY4Db74TjWEd0UEAQAhio8Pma0bLc+nAV0bQ3giJprdwBiMBjQqVMn+/9rtVoAQFVVVZPt4uLiMGDAAOTm+n4OPhGRJ9kPibcX0eNlZWg0N0KXNRpWq9Wj7IdEyoJERKoRM3IqhJhOUACtZj8cx2rPggjAvUOHtjpeX3AX0DELQr7Q7hqQLl264MKFS+s8dO1qa4F75MgRjB7dtEq6rKwMNTU+rpAiooBbn5+Pv3z/DV655fe4PitL9teXLpa9vVx1t3eCErNXr8SErCy3gUBZvW3aq0ITfSn7AffZD4ljLUjjtmVQ9xoOi74MPWPg5VgFFFaJ2HrqFG6+mHH2JymgW+1ywbtITFpiC+BYC0Jt0e4AJCsrC1u2bIEoihAEAWPGjMF//vMfzJ8/H19//TUiIiIAAJ9++inOnDmD/v37t3vQRBQ8RFHEzFU/4UDJecxc9ROuy8yUfXaEyWJBcVUViqu9X3XXJFbBZLFArXL9cZhyseDTrK+xZz9SdF6u8JqgQHFDFBrOHECEKOJUFbweq0YFzFu3Bjdddplfj7Ent7McsyCtBXBEzrQ7ALnxxhuxdu1abNq0CWPHjsVdd92FWbNm4aeffkJWVhaGDh2K8+fPY+vWrRAEAQ8++KAvxk1EQUL6pmzrERGYb8RqlQq5T8xAWV3TNue5hYV4bMUKLJqswajuly6kuUUWPLbKiEW33YZbr7jCbfABAH1TUhChikDtti9gNpmg0Qk4ccH7FV4jFLXISEjGbZdl4+PdO1GhN3q1v9EMnKupbjVgai932Q8JsyDUXu0+g++8807U1NTYMx3R0dH48ccfceedd+LEiRMoLCy0vZBKhSeffBKPPfZYe1+SiIKE4zflVyeosa3YGrBvxN0TEtA94dIy96Io4pGvl2NkmgqPZEc0Gc/gLgosOWTGkj278MiYMc6ergmFQoHfZWXixyO/IjtVga/u0KLc4Hp7URRx3zcG5JWLuLpXLzw/aRL0JhN6JiTg8q5dIQgCnhg3zh4wiQCqjUbUNzTAIopQCgKi1GrEaTRofhQ7xcT4NfhoazEvsyDkrXafxZ07d8Y//vGPJr8bPHgw8vPzsXPnThQWFkKr1WLkyJHo3Llze1+OiIJI82/KwfSN2Nc1DH1TUi4uBKdBj3glesS73/61iVpMWqJHdo8euLZv3xaPNw+YgoUn2Q9JsP2dU2jxWxitUCgwcuRIjBw50l8vQUQB1FqPiEB+I/Z1DYPVasX723OREe9l3Ue8gPe352L+zTeHxGqt/i7mJXLkVQBy5swZn7xojx49fPI8RBQ4zr4pB8s3Yl/XMNSZTDCaG3Gqyvu6D42qEXUmU0h0dPZ3MS+RI6/OlPT09HZHt4IgwGw2t+s5iCiwPO0REYhvxP6oYYjVaLDxkcdRUF4OACivr8dnu3djX8k5WKyXsgRKhRKDU7vi3uxsJF/sVprZqVNIBB+A62JeT/i7NoXCj1dnS48ePZheI6Kg7hHhrxqGEenpGJGebv//J8aOhdVqxYmKCpyvrUXnmBj0TkoKiVst7gRrbQqFH68CEGlGCxF1XMHcI0LuGgaFQoG+KSnom5LSnmETdUjMlxGRV4K5R0QgahgC3QXWlWAdF5GEAQhREArWi0ew94hoaw3DjtOnsXjLRmw+ccKr4x0MXWBDaVxEjhiAEAWZYL54hEKPCG9rGKSGZUfOl3t9vIOhC2wojYvIUWhXSxGFIceLRzAtee6svqK1H8f6imBdNbWtx7t5F9hgWR02WMdF1BwzIERBJJhamzcXjj0i2nO8g7ULbLCOi6i54Po0IOrggvniEY49Itp6vIOlC2zzWqFgGReRJ4LvE4GogwqFi0dbekSsz8/HH5ctCYmCWk+PdzB0gXVWKxQM4yLyFGtAiIKEdPGYPTayxcUjmGpBvNH8IhlMdQhtPd6edoH193ttXruyJi8vKMZF5CkGIERBIFguar4W7AW1bTnezgIXiVwB47q8PNzx8QcY0e1SoelT330T8HEReYMBCFEQCIaLmq8F82yMth5vb7vA+uO9iqKIx7/5GrUNZswZF2kf79HzZeiXrAjYuIi8xQCEfG59fj4GvfwS1ofQxTKQguGi5g/NL/LBEkS153i7C1wk/n6va/LycLysHMO7KZrUrmSnKuCuQiiY/g6IAAYg5GPBfM8/WAXDRc3XWivwDOR50dbj3dYusL58r6IoYsa3K2ARgRfGaZrUrswdr8HRcivWnnC9/k2w/B0QAQxAyMeC9Z5/sAqGi5o/BGtBbXuOtyeBi8Rf71XKfozo1vJWi228Ssze2ODy/AiGvwMiCafhks8EcxOtYBUKrc295WmBZyDOi7Ye7zV5eZizZpVsq+w645j9mOOQ/Wg6XjUmLdHjzV0mjOru/OPd1+MiaisGIOQzwdxEKxjJvXS8XNxd5AN5XrTveK9CcdUFnK0JXBdYd9kPiVQL8uTqBljEBlnGRdRWPPPIJ0KhiVawCffW5p4UeMp5XrT3eP/y6OOoMRq9fl1fdIFtLfshkWpBJi3RY9Ftt2FUerpfx0XUHjz7qN3W5+fjD0s+xW+19ezA6IXmrc1zCwvx2IoVWDRZg1HdW168c4sseGyVEYtuuw23XnFFUF48PLnFEajzwl0reRHAA0uXANZyfDRFjQe+awAUyfjonmkQYLtYp8XHyzJOZzzJfkikAG/Jnl14ZMwYBv4UtILvE4xCiiiK+MdPP6Csrh7Zqa4K45gFcUVqbS4tCT8yTYVHsiOcHqfBXRRYcshsv7AEm7YWeMp5XrhqJb8mLw+HfjuP1dN0GJqqwss3AJOWnEd5fX3AA2dPsx8SBv4UKjgLhtplbX4+dhadhUUE5o53VRjHqvvWhMNU3GCYJdIWwTxlGLiU/eidINhrV1r7cawVCvT4iVxhBoTaTBRFPL/yR0QqgYGdPevAyCxIS6GQOWhNKBfUBvMCbqIoYtbqlVCrgBMXxLCpFSICGIBQO0jZD8B59kMSLB/mwSocpuKGakFtME8ZBi7+GztTjE9v1WBAJ/fBKdC0TmhUejoLTSmo8cykNvE0+yEJhg/zYBTKmQNH7go8WxPIi2SwThkGmp4b/VNaDz4A4Ko0JXonKFmASiGBAQi1iafZD0mgP8yDVahmDpxxVeAZrIJ5yjAQXucGkTM8O8lrjtmPbjFCSH9zD7RQzRyEg2CeMgx4f27sOH0ab2zKwRPXjMfNl1/Oc4OCHs9Q8pqU/YhQAKeq2lYYt+roUfz9p+/xyi2/x/VZWX4aaWgItcxBOAiVwl9Pzw1pGnd+WSX+s3snHhw9WobREbUPAxDyiiiKmLXqJ8SpgV7xAt6/Rev0A1kURdz3jQF6Sxy+euCPTZYJT4mOxp2ffGRfMfe6zExmQ0hW4VD468hxEcgF24N3nESOGICQV9bm52PHmWIAwD+v12JoqutT6LWJWkxaUoWyujpM6t/f/vs1eXn8sKSACZfCXwkXgaRQxQCEPOaY/eif7NnMl+xUBZ769htM7NcPgiDww5ICLtyKO7kIJIWq4PlXREHPMfsx28OW0LaFscqwJi8Pk/r39/uH5fr8fPzl+29YWyKzUDru4VT4y0UgKZQFz78kCmpS9kMXAXSN9m7mS0a8gKe+/QYTsrL8+mEpiiJmrvqJtSUyC8XjHi6Fv8HcxZWoNQxAyCNS2rrR0raW0LqICvx05IhfPyxZiBcYPO6BEexdXIlawwCEPKJWqbDtyadw6Nw5bCwowL9ycvDXUZG4skvr6xmeumDFzBwTnvnxe799WLK2JDB43AMnmLu4EnmCq+GSx7onJGBy//7YdLIAvROUuPOyCPRPVrb6M7lPBLpGK3D0fJnTlVJ9sTJq85VYg2Wl1XDH4x4Y3nZx5Yq4FIyYASGvtHUGgVIAslP9s2IuC/H8z1mRKY974AR7F1ciTzAAIa+0ZQZBbmEhHluxwm8r5rIQz79cFZnyuAdGqHRxJWoNb8GQ17onJGBI9+4e/QxOS8OSPbu8/rD0NGXsaSEeU9Bt51hkKt1eCYbjvj4/H4NefgnrQ+h2jy/G3Py2lzu8LUbBjAEI+ZW/PyzdPX8wf/iGysWzeZGpFFhI3WwDddybZ2VCIcD0xZiddXFt7cexi2soHCfqOHgLhvzG3y2vg305dVdCqW+Gq8ZxM75dEdDjHopTf30x5nDr4kodG89E8ht/f1iGaiFeqFw8XRWZjuimwu6Scvx4t/OFCAH/HvdQnPrrqzGHUxdXIp6N5Df+/LAM1UK8ULp4uioynTMuEpOWmFvd31/HPRTXPvHlmMOliysRAxDyK399WIbqcuqhcvFsrch0RDcF5mwyYWIflaxZkFCc+huKYyaSAwMQCjmhupx6KF2IWuuyOWecBpOW6PHmLhNGdXf9MeLr4x6KU39DccxEcmAAQiEnVAvxQuVC5Glxb3aqAk+uboBFbGj1OX1x3ENx7ZNQHDORXBiAUNBpbWn3UCzEC6ULkafFvXPH27Igi267DaPS090+py+OeyiufRKKYyaSCwMQCiqeTlENtUK8ULkQtaW4d8meXXhkzBi/Bk6hOOU6FMdMJCc2IqOgIl2ou0QJQdlArC1CaeGwYO2y6cm4/DmetjSOC/SYiYIdAxAKGqIoYtaqnxCnBn6rFxGnBmaFSJdLd0LlQhSsXTbbOuXaV+NpSwfTQI+ZKBTwFgwFjbX5+dhxphgALjbpMmHHmeKA35Zoj1DqVxKsxb2BnnLdlsZxgR4zUShgAEJBwTH70T9ZYWvSVWTG0XIrZq36SZYL8vr8fPzP8mVQQMDbd0x1WgDrrVC6EAVjcW+gp1y3pXFcoMdMFCoYgFBQcMx+zB6nsV2ML/aakCMLIooinlv5I05XVsEiwidrtITihSjYinsDnZVpS+O4QI+ZKFTwLKeAa579aNKkq5tClixIy9s/7c9C8ELUfoHMyrS1cVwwZpKIghHPdAo4Z9kPALJlQZzd/tlyxtLuLAQvRL4RqKxMexrHBVsmiSgY8ROOAspV9kMiRxbEWQA0d7zaJ7UYvBCFplBqHEcUqjgNlwJKuvhXNzTNfkikLEh1A7DjTDFe2rDBp6/vGACN7Nb09k92qn+nl4aa9fn56DvvBfSeNwf/2rDB674YocTd1OlgmDJNFA4YgFDAuLr4NydlQWLVwEvr18JqtfpsDK4CICkLwouMjdQLo6DiAgorqvDiujVe9cUIJaHUOI4olDEAoYBpLfshkbIgNQ1ATUMj/umjLEhrARCzIJc49sKwwvb3MGNkeGYBQqVxHFGoYwBCASFd/HURwAg32Q/JhN5KjOimgE4F/GvDOp9kQTy5/cMsyKWMQHaqEq/cEIk4NZCdaivWDbcsADuYEsmHAQgFhMliwYnyCugbgTlush8SQRAwZ5wGejNQb2rET0ePtuv1vbn9k52qxB0ffYB1eXntes1QJWUE5o5XY91JK6obgLnjNWGZBQjWtXCIwhFnwVBARCqV6JGQgDh1g5dNugSU1ot4ce1q3DRgQJtnILia+tvcpRkxejz+zdc48uzfO9SsB8fsxw29FBj9kaFFsW64zAgJxcZxRKGMAQgFhMliQWldLYqrrV436eocJbSrL0hrU3+bs2VBFNh7rhxr8vIwqX9/r18zVDn2wlh30ortxZY29cUIBWwcRyQv/muhgGitSZcI4IGlSwBrOT6aom7yzTJFB9z5VUObv3V6mv2Q2LIgtoZoM75dgYn9OkYWxGn2I00Ztn0x2DiOSF78F0MB465J15q8PBz67TxWT9NhaGrL07St37odi1+7Rgtepdoz4gUcL+s4WZDWsh+ScMqCsHEckXwYgFDQ8bYPgzffuqU0e6MFOHFB9DrVrosAZq1eiYn9+oXsN31PeJr9kIRLFoSI5MMAhIKOJ0vYt/Vbt1qlwrYnn8Khc+dwQa93ud3BkhL8KycHfx0ViSu72CaLJWoEVBhE/OEb/6/OG2ieZj8k4ZQFISJ5MAChoNLWPgzefOtuLc0uiiIWb9mEkWkqvHR90/oTURTx5i5zWH/T9zb7IWEWhIi8wT4gFFSCoQ9DR18HpHnfj+3FFsweqw7Y3wcRhSdmQChoBEMfBn/Wn4QC6f1nxAtI0gJ/+t6I3gneFev2TlCE5bEhIt9iAEJBIxj6MPiz/iQU2P4OLqC4WkT2v/WIUACNVrAvBhH5HD8dKGgEug+DHPUnwc72d3CpSLeivh41DQ0e7Run0aBPSgo6R0ezLwYRtYqfEBRUAtmHwZPshyScsyDshUFEcmAAQoTgqD8hIupIGIAQITjqT4LV+vx8/OX7b/DKLb/H9VlZgR4OEYWJ8PzEJPJSoOtPgpUoipi56iccKDmPmat+wnWZmcz0EJFPhOenJlEbsPahJakuZsbISCzYHn71LkQUOGxERkROOc4KenWC2j7rRxTFQA+NiMIAAxAicqp5R1hPu5yuz8/HoJdfwnp2QyUiNxiAEFELznqiOPY+cZUFaV4zwmwJEbnCAISIWnhpw4YW6+F4kgVxrBnhmjBE5A4DECJqwmq1Yv6GdchOVbToCOsuC8KaESLyBgMQImrinxs2oNpowtzxGq9WA25rzQgRdUwMQIjIzmq14uWf1zvNfkicZUHaWjNCRB0XAxAisnOX/ZA4y240z3642o6ISMIAhIgAeJb9kDhmN6xWq8tVhJkFISJXGIAQEQDPsh8Sx+zGP53MmHG2HbMgROSIrdiJyJ79yIgXvFoNuFe8Ai//vN5p9kPimAXhqsFEJGEAQkT46ehR6E0mVBvh9WrAgAmzx+parRmZtIRryRDRJQxAiDo4URTxf+vW4PJOSrx/s9ppICGKIh74rgFQJOOje6ZBuPi7Py5bCp2ywquaEWZBiAhgAELU4UkzWFZP02FoquuPhJdvACYtOY/y+npM7NcPa/LycPDceaye5jr7IWEWhIiaYwBC1IE569/himMW44bMTMxevRK9E5Re1Yz0TlCGdRZkfX4+/vL9N3jllt/j+qysQA+HKKgxACHqwByzH95kMX46ehTFVVUorrZ4XTNiEqtgsligVoXXx0/zhfiuy8wMyyCLyFfC6xOAiDwmZT/aksX4v3VrsPXxJ1Fe723BKtApJibsgg+g6UJ8C7bzVhNRa8LvU4CIPGKyWNqVxegcG4seiYl+Gl1oab4Q37Zia1jfaiLyBQYgRB2UWqVC7hMzUFZX5/W+4ZrFaKvmt7JYcEvUOn6CEHVg3RMS0D0hIdDDCGmtLcTHLAiRc2zFTkTUDlyIj6htGIAQEbWRu2nMXIiPyD0GIEREbeQs+yFhFoTIPQYgRERt4EkTN2ZBiFxjAEJE1Abush8SZkGIXGMAQkTkpba2sGcWhOgSBiBERF7yJPshYRaEyDn2ASEi8kJ7WtizLwjRJQxAiIi80N4W9uG4EB9RW/BfARGRF9jCnsg3+C+BiMhLbGFP1H4sQiUiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2akCPQBXRFEEANQYjQEeCREREXlKum5L13FXBLG1LQKkuLgY3bt3D/QwiIiIqA2KioqQlpbm8vGgDUCsVitKSkoQExMDQRACPRwiIiLygCiKqK2tRWpqKhQK15UeQRuAEBERUfhiESoRERHJjgEIERERyY4BCBEREcmOAQgRtVl6ejoEQUBhYWGgh0JEIYYBCBEREcmOAQgRERHJjgEIERERyY4BCBEREcmOAQgR+VxjYyMWLVqE4cOHIzY2FlFRURg4cCBefPFF6PX6FtsXFhZCEASkp6cDAD777DMMGzYMOp0OiYmJuOOOO3Dy5EmZ3wUR+RM7oRJRm6Wnp+P06dM4deqUPXgwGAy46aab8PPPPwMA+vfvj4iICBw+fBhWqxWDBg3C+vXrkZSUZH+ewsJCZGRkoGfPnrj77rvx0ksvoWfPnoiPj0deXh4aGhrQtWtXHDx4EMnJyYF4q0TkY8yAEJFPzZw5Ez///DNSU1OxZ88eHDlyBAcOHEB+fj769euH/fv34+GHH3a679mzZ/HWW29h5cqVKCwsxP79+1FYWIgrr7wS586dwyuvvCLzuyEif2EAQkQ+U1NTg7fffhsA8Oabb2LIkCH2x/r06YP//Oc/AIDly5fjxIkTLfY3m82YNWsWJk+ebP9dly5dMG/ePADAqlWr/Dl8IpIRAxAi8pktW7ZAr9ejR48emDJlSovHs7OzcdVVV0EURaxbt87pc/zpT39yuh8A1oEQhREGIETkM8eOHQMA9OvXD4IgON3msssua7Kto+TkZMTFxbX4fadOnQAAdXV1vhoqEQUYAxAi8hkpQJACBmc6d+4MAKitrW3xWFRUlNN9FAp+VBGFG/6rJiKfiY6OBgCUlpa63Ob8+fMAgJiYGFnGRETBiQEIEflMZmYmAODo0aNwNcP/119/bbItEXVMDECIyGfGjBkDnU6HoqIifPfddy0e3717N7Zt2wZBEHDDDTcEYIREFCwYgBCRz8TGxuKhhx4CADz66KPYt2+f/bETJ05g+vTpAIA777wTvXv3DsgYiSg4qAI9ACIKL3PnzsXevXuRk5ODIUOGYMCAAfZOqBaLBQMHDsSbb74Z6GESUYAxA0JEPqXVarFmzRq88cYbGDZsGE6fPo1jx45hwIABmDdvHnJzc5u0YSeijolrwRAREZHsmAEhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItkxACEiIiLZMQAhIiIi2TEAISIiItn9f9zrm9HFmpBAAAAAAElFTkSuQmCC",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model.fit(X_train, y_train)\n",
"plot_tree_decision_boundary(\n",
" model,\n",
" X_train,\n",
" y_train,\n",
" eps=10,\n",
" x_label=\"lon\",\n",
" y_label=\"lat\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Standard question to ask ourselves: \n",
"***Which of these scenarios am I in?***\n",
"\n",
"### How can we figure this out?\n",
"\n",
"- If the training and validation scores are very far apart → more likely **overfitting**. \n",
" - Try decreasing model complexity.\n",
"\n",
"- If the training and validation scores are very close together → more likely **underfitting**. \n",
" - Try increasing model complexity."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The \"Fundamental Tradeoff\" of Supervised Learning\n",
"\n",
"As model complexity increases:\n",
"\n",
"$\\text{Training score}$ ↑ and ($\\text{Training score} − \\text{Validation score}$) tend to also ↑\n",
"\n",
"\n",
"If our model is too simple (underfitting) then we won't really learn any \"specific patterns\" of the training set. \n",
"\n",
"**BUT** \n",
"\n",
"If our model is too complex then we will learn unreliable patterns that get every single training example correct, and there will be a large gap between training error and validation error.\n",
"\n",
"The trade-off is there is tension between these two concepts. \n",
"\n",
"When we underfit less, we overfit more. \n",
"\n",
"How do we know how much overfitting is too much and how much is not enough? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How to pick a model that would generalize better?\n",
"\n",
"We can create a loop that tries different values of the hyperparameters to see which give the best results,\n",
"let's try this with a max depth from 1 to 20."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
depth
\n",
"
mean_train_score
\n",
"
mean_cv_score
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
1
\n",
"
0.834349
\n",
"
0.809926
\n",
"
\n",
"
\n",
"
1
\n",
"
2
\n",
"
0.844989
\n",
"
0.804044
\n",
"
\n",
"
\n",
"
2
\n",
"
3
\n",
"
0.862967
\n",
"
0.804412
\n",
"
\n",
"
\n",
"
3
\n",
"
4
\n",
"
0.906865
\n",
"
0.840074
\n",
"
\n",
"
\n",
"
4
\n",
"
5
\n",
"
0.918848
\n",
"
0.851838
\n",
"
\n",
"
\n",
"
5
\n",
"
6
\n",
"
0.930817
\n",
"
0.815074
\n",
"
\n",
"
\n",
"
6
\n",
"
7
\n",
"
0.954115
\n",
"
0.827941
\n",
"
\n",
"
\n",
"
7
\n",
"
8
\n",
"
0.973400
\n",
"
0.815441
\n",
"
\n",
"
\n",
"
8
\n",
"
9
\n",
"
0.980049
\n",
"
0.827574
\n",
"
\n",
"
\n",
"
9
\n",
"
10
\n",
"
0.994013
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
10
\n",
"
11
\n",
"
0.996675
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
11
\n",
"
12
\n",
"
1.000000
\n",
"
0.815074
\n",
"
\n",
"
\n",
"
12
\n",
"
13
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
13
\n",
"
14
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
14
\n",
"
15
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
15
\n",
"
16
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
16
\n",
"
17
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
17
\n",
"
18
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
18
\n",
"
19
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" depth mean_train_score mean_cv_score\n",
"0 1 0.834349 0.809926\n",
"1 2 0.844989 0.804044\n",
"2 3 0.862967 0.804412\n",
"3 4 0.906865 0.840074\n",
"4 5 0.918848 0.851838\n",
"5 6 0.930817 0.815074\n",
"6 7 0.954115 0.827941\n",
"7 8 0.973400 0.815441\n",
"8 9 0.980049 0.827574\n",
"9 10 0.994013 0.803309\n",
"10 11 0.996675 0.809191\n",
"11 12 1.000000 0.815074\n",
"12 13 1.000000 0.803309\n",
"13 14 1.000000 0.809191\n",
"14 15 1.000000 0.809191\n",
"15 16 1.000000 0.809191\n",
"16 17 1.000000 0.803309\n",
"17 18 1.000000 0.803309\n",
"18 19 1.000000 0.809191"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results_dict = {\"depth\": list(), \"mean_train_score\": list(), \"mean_cv_score\": list()}\n",
"\n",
"for depth in range(1, 20):\n",
" model = DecisionTreeClassifier(max_depth=depth)\n",
" scores = cross_validate(model, X_train, y_train, cv=10, return_train_score=True)\n",
" results_dict[\"depth\"].append(depth)\n",
" results_dict[\"mean_cv_score\"].append(scores[\"test_score\"].mean())\n",
" results_dict[\"mean_train_score\"].append(scores[\"train_score\"].mean())\n",
"\n",
"results_df = pd.DataFrame(results_dict)\n",
"results_df"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"source = results_df.melt(id_vars=['depth'] , \n",
" value_vars=['mean_train_score', 'mean_cv_score'], \n",
" var_name='score_type', value_name='accuracy')\n",
"chart1 = alt.Chart(source).mark_line().encode(\n",
" alt.X('depth:Q', axis=alt.Axis(title=\"Tree Depth\")),\n",
" alt.Y('accuracy:Q', scale=alt.Scale(domain=[0.6, 1])),\n",
" alt.Color('score_type:N', scale=alt.Scale(domain=['mean_train_score', 'mean_cv_score'],\n",
" range=['teal', 'gold'])))\n",
"\n",
"# Find the depth value that corresponds to the maximum mean_cv_score\n",
"max_cv_score_depth = results_df.loc[results_df['mean_cv_score'].idxmax(), 'depth']\n",
"\n",
"# Add a vertical line at x=5\n",
"highlight = alt.Chart(pd.DataFrame({'x': [max_cv_score_depth]})).mark_rule(color='red', strokeDash=[2,1]).encode(x='x')\n",
"\n",
"# Combine the charts\n",
"chart = chart1 + highlight\n",
"chart"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- As we increase our depth (increase our complexity) our training data increases. \n",
"- As we increase our depth, we overfit more, and the gap between the train score and validation score also increases... except ... "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- There is a spot where the gap between the validation score and test score is the smallest while still producing a decent validation score.\n",
"- In the plot, this would be around `max_depth` is 5. \n",
"- Commonly, we look at the cross-validation score and pick the hyperparameter with the highest cross-validation score. "
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
depth
\n",
"
mean_train_score
\n",
"
mean_cv_score
\n",
"
\n",
" \n",
" \n",
"
\n",
"
4
\n",
"
5
\n",
"
0.918848
\n",
"
0.851838
\n",
"
\n",
"
\n",
"
3
\n",
"
4
\n",
"
0.906865
\n",
"
0.840074
\n",
"
\n",
"
\n",
"
6
\n",
"
7
\n",
"
0.954115
\n",
"
0.827941
\n",
"
\n",
"
\n",
"
8
\n",
"
9
\n",
"
0.980049
\n",
"
0.827574
\n",
"
\n",
"
\n",
"
7
\n",
"
8
\n",
"
0.973400
\n",
"
0.815441
\n",
"
\n",
"
\n",
"
11
\n",
"
12
\n",
"
1.000000
\n",
"
0.815074
\n",
"
\n",
"
\n",
"
5
\n",
"
6
\n",
"
0.930817
\n",
"
0.815074
\n",
"
\n",
"
\n",
"
0
\n",
"
1
\n",
"
0.834349
\n",
"
0.809926
\n",
"
\n",
"
\n",
"
15
\n",
"
16
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
14
\n",
"
15
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
13
\n",
"
14
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
18
\n",
"
19
\n",
"
1.000000
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
10
\n",
"
11
\n",
"
0.996675
\n",
"
0.809191
\n",
"
\n",
"
\n",
"
2
\n",
"
3
\n",
"
0.862967
\n",
"
0.804412
\n",
"
\n",
"
\n",
"
1
\n",
"
2
\n",
"
0.844989
\n",
"
0.804044
\n",
"
\n",
"
\n",
"
12
\n",
"
13
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
16
\n",
"
17
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
17
\n",
"
18
\n",
"
1.000000
\n",
"
0.803309
\n",
"
\n",
"
\n",
"
9
\n",
"
10
\n",
"
0.994013
\n",
"
0.803309
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" depth mean_train_score mean_cv_score\n",
"4 5 0.918848 0.851838\n",
"3 4 0.906865 0.840074\n",
"6 7 0.954115 0.827941\n",
"8 9 0.980049 0.827574\n",
"7 8 0.973400 0.815441\n",
"11 12 1.000000 0.815074\n",
"5 6 0.930817 0.815074\n",
"0 1 0.834349 0.809926\n",
"15 16 1.000000 0.809191\n",
"14 15 1.000000 0.809191\n",
"13 14 1.000000 0.809191\n",
"18 19 1.000000 0.809191\n",
"10 11 0.996675 0.809191\n",
"2 3 0.862967 0.804412\n",
"1 2 0.844989 0.804044\n",
"12 13 1.000000 0.803309\n",
"16 17 1.000000 0.803309\n",
"17 18 1.000000 0.803309\n",
"9 10 0.994013 0.803309"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results_df.sort_values('mean_cv_score', ascending=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we know the best value to use for `max_depth`, we can build a new classifier setting `max_depth=5`, train it and now (only now) do we score our model on the test set."
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Score on test set: 0.81\n"
]
}
],
"source": [
"model = DecisionTreeClassifier(max_depth=5)\n",
"model.fit(X_train, y_train);\n",
"print(\"Score on test set: \" + str(round(model.score(X_test, y_test), 2)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Is the test error comparable with the cross-validation error?\n",
"- Do we feel confident that this model would give a similar performance when deployed? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The Golden Rule \n",
"\n",
"- Even though we care the most about test error **THE TEST DATA CANNOT INFLUENCE THE TRAINING PHASE IN ANY WAY**. \n",
"- We have to be very careful not to violate it while developing our ML pipeline. \n",
"- Why? When this happens, the test data influences our training and the test data is no longer unseen data and so the test score will be too optimistic.\n",
"- Even experts end up breaking it sometimes which leads to misleading results and lack of generalization on the real data. \n",
" - https://www.theregister.com/2019/07/03/nature_study_earthquakes/\n",
" - https://www.technologyreview.com/2015/06/04/72951/why-and-how-baidu-cheated-an-artificial-intelligence-test/\n",
" \n",
"How do we avoid this? \n",
"\n",
"The most important thing is when splitting the data, we lock away the test set and keep it separate from the training data.\n",
"\n",
"Forget it exists temporarily - kinda like forgetting where you put your passport until you need to travel. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To summarize, the workflow we generally follow is:\n",
"\n",
"- **Splitting**: Before doing anything, split the data `X` and `y` into `X_train`, `X_test`, `y_train`, `y_test` or `train_df` and `test_df` using `train_test_split`. \n",
"- **Select the best model using cross-validation**: Use `cross_validate` with `return_train_score = True` so that we can get access to training scores in each fold. (If we want to plot train vs validation error plots, for instance.) \n",
"- **Scoring on test data**: Finally, score on the test data with the chosen hyperparameters to examine the generalization performance."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's Practice\n",
"\n",
"**Overfitting or Underfitting**: \n",
"\n",
"1\\. If our train accuracy is much higher than our test accuracy. \n",
"2\\. If our train accuracy and our test accuracy are both low and relatively similar in value. \n",
"3\\. If our model is using a Decision Tree Classifier for a classification problem with no limit on `max_depth`. \n",
" \n",
"**True or False**: \n",
"\n",
"4\\. In supervised learning, the training score is always higher than the validation score. \n",
"5\\. The fundamental tradeoff of ML states that as training score goes up, validation score goes down. \n",
"6\\. More \"complicated\" models are more likely to overfit than \"simple\" ones. \n",
"7\\. If our training score is extremely high, that means we're overfitting. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```{admonition} Solutions!\n",
":class: dropdown\n",
"1. Overfitting\n",
"2. Underfitting\n",
"3. Likely overfitting\n",
"4. False\n",
"5. False\n",
"6. True\n",
"7. False\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's Practice - Coding \n",
"\n",
"Below is some starter code that creates your feature table and target column from the data from the `bball.csv` dataset (in the data folder)."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"bball_df = pd.read_csv('data/bball.csv')\n",
"bball_df = bball_df[(bball_df['position'] =='G') | (bball_df['position'] =='F')]\n",
"\n",
"# Define X and y\n",
"X = bball_df.loc[:, ['height', 'weight', 'salary']]\n",
"y = bball_df['position']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"1. Split the dataset into 4 objects: `X_train`, `X_test`, `y_train`, `y_test`. Make the test set 0.2 (or the train set 0.8) and make sure to use `random_state=7`.\n",
"2. Build a decision tree model with `max_depth=5`. \n",
"3. Cross-validate using cross_validate() on the objects X_train and y_train specifying the model and making sure to use 10 fold cross-validation and `return_train_score=True`.\n",
"4. Convert the scores into a dataframe and save it in an object named scores_df.\n",
"5. Calculate the mean scores from cross validation.\n",
"6. Is your model overfitting or underfitting? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Solutions**\n",
"\n",
"1\\."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=7)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"2\\."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"dt5 = DecisionTreeClassifier(max_depth=5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"3\\."
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"scores = cross_validate(dt5, X_train, y_train, cv=10, return_train_score=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"4\\."
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"scores_df = pd.DataFrame(scores)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"5\\."
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [
{
"data": {
"text/plain": [
"fit_time 0.001303\n",
"score_time 0.000778\n",
"test_score 0.844833\n",
"train_score 0.957826\n",
"dtype: float64"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores_df.mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"6\\.\n",
"\n",
"```{toggle}\n",
"It seems to be overfitting slightly since it is performing notably better on the training data.\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## What We've Learned Today\n",
"\n",
"- The concept of generalization.\n",
"- How to split a dataset into train and test sets using `train_test_split` function.\n",
"- The difference between train, validation, test, and \"deployment\" data.\n",
"- The difference between training error, validation error, and test error.\n",
"- Cross-validation and use `cross_val_score()` and `cross_validate()` to calculate cross-validation error.\n",
"- Overfitting, underfitting, and the fundamental tradeoff.\n",
"- Golden rule and identify the scenarios when it's violated."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "571",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.0"
},
"toc": {
"base_numbering": "0",
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": true,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {
"height": "calc(100% - 180px)",
"left": "10px",
"top": "150px",
"width": "274.188px"
},
"toc_section_display": true,
"toc_window_display": true
},
"toc-autonumbering": false,
"toc-showmarkdowntxt": false
},
"nbformat": 4,
"nbformat_minor": 4
}