RandomForests.ipynb 488 KB
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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to Random Forests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall that machine learning models suffer from two types of errors:\n",
    "* Bias: This is the error in the model due to incorrect assumptions, e.g., assuming the data is linear when it is \n",
    "  actually quadratic. A high bias model typically underfits the data.\n",
    "* Variance: This is the error due to sensitivity to small variations in the training data, e.g., fitting a \n",
    "  high-degree polynomial to the training data. A high variance model typically overfits the data.\n",
    "Increasing the complexity of a model will typically reduce the bias and increase the variance. The optimal complexity will then be at the point where the combination of these errors is a minimum.\n",
    "\n",
    "In the last lesson we considered Decision Tree Classifiers (DTC), and showed that, although they are very fast, they have a tendency to overfit the training data and therefore have a high variance. This can be overcome by using cross-validation to search for the optimal hyper-parameters of the DTC. However, generally this is overcome by running a series or ensemble of DTC on random combinations of the training set and aggregating these to create a more accurate classifier. This is the concept behind Random Forest Classifiers (RFC). These typically have similar bias to the underlying DTC, but have significantly lower variance. Consequently, RFC are generally at least as accurate as the best performing members of the DTC ensemble. For general classifiers the resulting model from running an ensemble of simpler models is referred to as an aggregator.\n",
    "\n",
    "In this activity we will investigate how simple ensembles can be created, the different forms of voting that can be used for aggregators, and the basic ideas of how to implement a RFC."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the necessary libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.datasets import make_moons\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "from sklearn.ensemble import BaggingClassifier, RandomForestClassifier, VotingClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression # import the LogisticRegression model\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') # suppress warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the function for plotting decision boundaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from logitplots import plt_decision_boundaries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contents\n",
    "\n",
    "* Ensemble Predictions\n",
    "* Voting Classifiers and Decision Tress\n",
    "* Random Forests\n",
    "* Feature Importance\n",
    "* Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ensemble Predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consider the random tossing of a slightly biased coin that has a 51% probability of turning up heads and a 49% probability of turning up tails. If we count the ratio of heads to tails, after a sufficiently large number of tosses this should approach 0.51. The figure below shows this ratio for 10 biased coin tosses up to 1000 tosses as coloured lines. As is apparent the *law of large numbers* shows that for each of the 10 tosses this ratio slowly approaches 0.51. We can also take the average of the ensemble of coin tosses, which is shown as a bold black line, and this approaches 0.51 much more rapidly. This is due to the fact that the variance of each of the sequence of coin tosses is independent, but they have the same mean. Therefore, when we take the average of the ensemble the variances cancel and we obtain a significantly reduced variance. Thinking another way, at each coin toss the ensemble represents a sequence of coin tosses. Therefore the larger the ensemble the closer the heads ratio will approach the underlying probability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "probability = .51 # probability of heads vs. tails.\n",
    "n = 1000 # number of coin tosses\n",
    "members = 10 # number of ensemble members\n",
    "fullResults = np.zeros(n) # create storage array for actual flips\n",
    "headRatio = np.zeros((n,members)) # create storage array for ratio of heads to tails\n",
    "for j in range(members): # loop over all the ensemble members\n",
    "    for i in range(n):    # loop over all the required tosses\n",
    "        # generate one random sample of 0 or 1 with given probability\n",
    "        fullResults[i] = np.random.binomial(1,probability) \n",
    "        headRatio[i,j] = np.average(fullResults[0:i+1]) # calculate the ratio up to this toss\n",
    "plt.plot(np.arange(n),headRatio,linewidth=.5) # plot the ratio for all ensemble members\n",
    "# for each toss calculate the average of the ratio over all ensemble members    \n",
    "for i in range(n):\n",
    "    fullResults[i] = np.average(headRatio[i,:])\n",
    "# plot the average with a thick black line    \n",
    "plt.plot(np.arange(n),fullResults,'k',linewidth=3)\n",
    "# plot the given probability   \n",
    "plt.plot(np.arange(n),probability*np.ones(n),'k--')\n",
    "plt.ylim(.3,.7) # set the y limits\n",
    "plt.xlim(0,n) # set the x limits\n",
    "plt.ylabel('Heads Ratio') # set the x label\n",
    "plt.xlabel('Coin tosses'); # set the y label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Voting Classifiers and Decision Trees"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same approach can be used to improve the accuracy of a ensemble of classifiers, provided the classifiers are largely independent of each other, i.e., they are not making the same mistakes. For a voting classifier this can occur if we use completely different classifiers on the training data. For example, consider we have a Logistic Regression Classifier, a Support Vector Classifier and a DTC being trained on the same data set. As they are being trained on the same data, they are not completely independent, however as the algorithms are significantly different there is relatively low correlation between their errors. These can then be used to create an improved accuracy aggregator.\n",
    "\n",
    "The sklearn aggregator `VotingClassifier` takes different classifiers and aggregates the results to produce a new classification. This is achieved using either `hard` or `soft` voting. For hard voting all the ensemble is polled and the classification with the most votes is chosen. For soft voting the average probability for each class is taken over the ensemble, and the class with the highest probability is chosen.\n",
    "\n",
    "For the example below the Voting Classifier is applied to the sklearn `moons` data, which produces two interleaved half-moons. The three members of the ensemble are Logistic Regression Classifier, Support Vector Classifier and DTC. By default Support Vector Classifier do not output probabilities, so to use soft voting we need get the classifier to create probabilities.  By using the Voting Classifier an accuracy of 93.3% is achieved, whereas the best component of the ensemble is Support Vector Classifier with an accuracy of 92%.\n",
    "\n",
    "The Voting Classifier does not always give better results than any member of the ensemble, however this can often occur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make binary classification of two intersecting half moons, with specified noise \n",
    "X, y = make_moons(n_samples=300, noise=0.25, random_state = 42) \n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state = 42)\n",
    "# instantatiate the logistic regression, decision tree and support vector classifiers\n",
    "# get SVC to calculate probabilities\n",
    "log_clf = LogisticRegression(random_state=0)\n",
    "dtc_clf = DecisionTreeClassifier(random_state=0)\n",
    "svm_clf = SVC(probability=True, random_state=0)\n",
    "# instantatiate the voting classifier with our three standard classifiers\n",
    "# and use soft voting (probability based)\n",
    "voting_clf = VotingClassifier(estimators=[('lr', log_clf), ('dt', dtc_clf), ('svc', svm_clf)],\n",
    "                             voting = 'soft')\n",
    "voting_clf.fit(X_train,y_train) # fit the training data to all the classifiers\n",
    "# initialise a set of 2 by 2 subplots\n",
    "fig, axs = plt.subplots(2,2,figsize=(10,9))\n",
    "# create x and y grid for plotting the decision boundaries\n",
    "xx, yy = np.meshgrid(np.linspace(-2,3), np.linspace(-2,2))\n",
    "\n",
    "names = ('LogisticRegression','DecisionTree','SVC','Voting') # set the names for the plot titles\n",
    "# loop over k, the classifiers and the classifier names\n",
    "for k, clf, name in zip(range(4),(log_clf, dtc_clf, svm_clf, voting_clf),names):\n",
    "    i = k//2 # integer division, rounded down to nearest integer\n",
    "    j = k%2 # calculate remainder of k//2\n",
    "    clf.fit(X_train, y_train) # fit the training data to each classifier\n",
    "    y_pred = clf.predict(X_test) # use the classifier to predict results for the testing features\n",
    "    # contour plot of the decision boundaries for this classifier\n",
    "    plt_decision_boundaries(clf, xx, yy, axs[i,j], fill=True) \n",
    "    # scatter plot of the features coloured by the target values\n",
    "    axs[i,j].scatter(X[:,0], X[:,1], c=y, s=50, cmap='winter', alpha=0.3); \n",
    "    accuracy = np.round(accuracy_score(y_test, y_pred),3) # calculate the accuracy score\n",
    "    # add the depth and accuracy to the title\n",
    "    axs[i,j].set_title('{0} accuracy = {1}'.format(name, accuracy)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To consider the application of ensemble methods to DTC we import the wine dataset, which was used in the previous notebook. This consists of 178 samples, with 13 features and one target consisting of three classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(178, 14)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the data from the csv file into a pandas dataframe\n",
    "df = pd.read_csv(\"wine_data.csv\", header = None, \n",
    "                names = ['Class','Alcohol','MalicAcid','Ash','Alcalinity','Mg',\n",
    "                         'Phenols','Flavanoids','Nonflavanoids',\n",
    "                         'Proanthocyanins','Colour','Hue','ProteinConcentration','Proline']) \n",
    "df.shape # print the shape of the datafream"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initially we again consider a two feature model using the `Flavanoids` and `Proline` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdf = df[['Class','Flavanoids','Proline']] # create a smaller dataframe with only these columns\n",
    "X = rdf.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = rdf['Class'] # create a target dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The DTC have high variance and consequently overfit the data. This can be seen by plotting the decision boundaries for four runs of the DTC. Each uses the same training set, but the features are randomly sampled for splitting at each node by setting `max_features=1` (recall there are only two features for this model). We obtain that DTC have a high variance, with some performing poorly and some quite well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2,2,figsize=(10,9)) # initialise the plots and axes for 2 by 2 subfigures\n",
    "# create x and y grid for plotting the decision boundaries\n",
    "xx, yy = np.meshgrid(np.linspace(0,6), np.linspace(200,1800))\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "cdt = {}  # dict to store the fitted trees for voting classifier\n",
    "for k in range(4): # loop over 0 to 3\n",
    "    i = k//2 # integer division, rounded down to nearest integer\n",
    "    j = k%2 # calculate remainder of k//2\n",
    "    # fit the training data to the DTC and randomly use one feature at each node for splitting\n",
    "    df_dtc = DecisionTreeClassifier(max_features=1).fit(X_train, y_train)\n",
    "    # axs[i,j] is (i,j) set of the axes defined above\n",
    "    # contour plot of the decision boundaries for this classifier\n",
    "    plt_decision_boundaries(df_dtc,xx,yy,axs[i,j]) \n",
    "    # scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "    axs[i,j].scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "    Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "    accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "    # add the depth and accuracy to the title\n",
    "    axs[i,j].set_title('accuracy = {0}'.format(accuracy)) \n",
    "    # only print axis labels on the left and bottom\n",
    "    if i == 1:\n",
    "        axs[i,j].set_xlabel('Flavanoids')\n",
    "    if j == 0:\n",
    "        axs[i,j].set_ylabel('Proline')\n",
    "    # for each value of k store the decision tree to be used with the voting classifier\n",
    "    cdt[f'df_dtc{k}'] = df_dtc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The four runs of the DTC can now be input to the Voting Classifier. Using soft voting the aggregator produces an accuracy which is better than any member of the ensemble. Similarly the decision boundaries appear to be much less sensitive to the training data, indicating a reduction in the variance of the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "# instantatiate the voting classifier with the four DTC defined in the previous cell \n",
    "# and use soft voting (probability based)\n",
    "voting_clf = VotingClassifier(estimators=list(cdt.items()), voting='soft')\n",
    "voting_clf.fit(X_train,y_train) # fit the training data to the classifiers\n",
    "plt_decision_boundaries(voting_clf,xx,yy) # contour plot of the decision boundaries for this classifier\n",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "Y_pred = voting_clf.predict(X_test) # calculate the predicted values\n",
    "accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "# add the depth and accuracy to the title\n",
    "plt.title('accuracy = {0}'.format(accuracy)) \n",
    "plt.xlabel('Flavanoids') # x axis label\n",
    "plt.ylabel('Proline'); # y axis label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RFC generalise this process by incorporating random sampling of the training data for the ensemble of DTC. You can think of this as a new call to `test_train_split` before creating each DTC. There are two ways to do this: bagging and pasting. Bagging (Boost Aggregating) does this by random sampling of instances with replacement. For example, we sample coloured balls from an urn, record the colour and put the ball back in the urn. Hence in each sample instances can possibly occur multiple times. Pasting does the random sampling of instances without replacement, and therefore in each sample instances can only occur once. For example, Lotto numbers are sampled without replacement. Each predictor is then trained on their particular random sample, and then the classification is chosen based on the most frequent prediction of the estimators (hard voting). The aggregator then has similar bias as the original model, but lower variance. Bagging generally leads to better models, as it has lower variance than pasting. \n",
    "\n",
    "For a general classifier, we can use the sklearn function `BaggingClassifier`. However, for Decision Trees it is easier to use the function `RandomForestClassifier` which combines the `BaggingClassifier` with the `DecisionTreeClassifier`. `RandomForestClassifier` takes as arguments, the arguments of both of these functions. The most important arguments for RFC are `n_estimators`, `max_samples` and `bootstrap`: \n",
    "\n",
    "* `n_estimators` defines the size of the ensemble, and increasing this reduces the variance of the model. \n",
    "* `max_samples` defines how many samples are used for each estimator. This can be a positive integer, which directly gives the sample size, or a decimal number between 0 and 1, which defines the fraction of the number of instances to be used for the sample size. Decreasing this will increase the randomness of the individual estimators, and reduce the variance of the final model. \n",
    "* `bootstrap` is True to use bagging and False to use pasting. The default behaviour is bagging.\n",
    "\n",
    "In the example below we set the number of ensemble members to 200 and fraction of samples for each model to a half. These could also be combined with hyper-parameters for `DecisionTreeClassifier`, such as `max_features` or `max_depth`. This gives an accuracy of which is at least as good as the ensemble members above and the voting classifier. However, the decision boundaries are much more regular, indicating that the variance of the model is again significantly decreased.\n",
    "\n",
    "The optimal hyper-parameters could then be obtained using `GridSearchCV`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "# instantatiate the RFC with 200 ensemble members and randomly use only half the training data\n",
    "# for each ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=200, max_samples=.5).fit(X_train, y_train)\n",
    "plt_decision_boundaries(clf,xx,yy) # contour plot of the decision boundaries for this classifier\n",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "Y_pred = clf.predict(X_test) # calculate the predicted values\n",
    "accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "# add the depth and accuracy to the title\n",
    "plt.title('accuracy = {0}'.format(accuracy)) \n",
    "plt.xlabel('Flavanoids') # x axis label\n",
    "plt.ylabel('Proline'); # y axis label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Importance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One important property of RFC is that they allow the user to easily measure the relative importance of each of the data features, by accessing the `feature_importance_` variable of the model. This is the relative weight of the feature in reducing impurity in tree nodes. The weights for all features sum to one. For example, this could be used in feature selection to reduce the number of features which are input to the model.\n",
    "\n",
    "To understand this we consider the full set of features for the wine classification data. The accuracy of RFC for the training data is 97.2%. We see the most important features are `Colour`, `ProteinConcentration`, `Flavanoids` and `Proline`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 1.0\n",
      "Alcohol 0.109\n",
      "MalicAcid 0.028\n",
      "Ash 0.014\n",
      "Alcalinity 0.023\n",
      "Mg 0.031\n",
      "Phenols 0.073\n",
      "Flavanoids 0.178\n",
      "Nonflavanoids 0.013\n",
      "Proanthocyanins 0.021\n",
      "Colour 0.18\n",
      "Hue 0.094\n",
      "ProteinConcentration 0.115\n",
      "Proline 0.122\n"
     ]
    }
   ],
   "source": [
    "# use the full wine data set\n",
    "X = df.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "# instantatiate the RFC with 100 ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=100).fit(X_train, y_train)\n",
    "Y_pred = clf.predict(X_test)  # calculate the predicted values\n",
    "# print the accuracy of the RFC\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(y_test, Y_pred),3)))\n",
    "# loop over all the names and feature importance and print both\n",
    "for name, score in zip(X.columns, clf.feature_importances_):\n",
    "    print(name,np.round(score,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall from the previous notebook that there is a significant correlation between the features `ProteinConcentration` and `Flavanoids`. Therefore we can set up a RFC with the three features `Colour`, `Flavanoids` and `Proline`. The resultant model has equivalent accuracy as the full model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.972\n"
     ]
    }
   ],
   "source": [
    "rdf = df[['Class','Flavanoids','Proline','Colour']] # create a smaller dataframe with only these columns\n",
    "X = rdf.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = rdf['Class'] # create a target dataframe\n",
    "X = df.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "# instantatiate the RFC with 100 ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=100).fit(X_train, y_train)\n",
    "\n",
    "Y_pred = clf.predict(X_test) # calculate the predicted values\n",
    "# print the accuracy of the RFC\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(y_test, Y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the exercises we are again go to use the seed dataset from the last activity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "seeds = pd.read_csv('seeds_dataset.txt', header=None, \n",
    "                   names=['area','perimeter','compactness','length','width','asymmetry',\n",
    "                         'groovelength','seedtype'])\n",
    "classes = ['Kama', 'Rosa', 'Canadian']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a testing and training set with all the features, and then iterate over the values of the number of estimators in the list (50,100,150,200) to find the maximum accuracy for a RFC for this data. For values with the same maximum accurary, choose the smallest value. For repeatability you should set `random_state` to a constant in the splitting of the data and the initialization of the RFC. You should get a maximum accuracy of approximately 96%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the optimal value of the number of estimators from Exercise 1, calculate the feature importance for each of the dataset features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose the two features with the highest feature importance, and create a RFC based on these two features. Calculate the accuracy for this model, which again should be approximately 96%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the decision boundaries for this model and overlay a scatter plot of the data points, coloured by their classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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