+Code View
+
+Bootstrap Aggregating
+
+
+````python
+ import numpy as np
+ import matplotlib as mpl
+ import matplotlib.pyplot as plt
+ from sklearn.datasets import load_iris
+ from sklearn.tree import DecisionTreeClassifier
+ from sklearn.ensemble import BaggingClassifier
+
+ iris = load_iris()
+ X, y = iris.data[:, [0,2]], iris.target
+
+ model1 = DecisionTreeClassifier(max_depth =10, random_state=0).fit(X, y)
+ model2 = BaggingClassifier(DecisionTreeClassifier(max_depth=4), n_estimators=50, random_state=0).fit(X, y)
+
+ x_min, x_max = X[:,0].min() - 1, X[:,0].max() + 1
+ y_min, y_max = X[:,1].min() - 1, X[:,1].max() + 1
+ xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.1), np.arange(y_min, y_max, 0.1))
+
+ plt.subplot(121)
+ Z1 = model1.predict(np.c_[xx.ravel(), yy.ravel()]).reshape(xx.shape)
+ plt.contourf(xx, yy, Z1, alpha=0.6, cmap=mpl.cm.jet)
+ plt.scatter(X[:,0], X[:,1], c=y, alpha=1, s=50, cmap=mpl.cm.jet, edgecolors="k")
+ plt.title("Decision tree")
+ plt.subplot(122)
+
+ Z2 = model2.predict(np.c_[xx.ravel(), yy.ravel()]).reshape(xx.shape)
+ plt.contourf(xx, yy, Z2, alpha=0.6, cmap=mpl.cm.jet)
+ plt.scatter(X[:,0], X[:,1],c=y,alpha=1,s=50,cmap=mpl.cm.jet,edgecolors="k")
+ plt.title("Bagging of decision trees")
+ plt.tight_layout()
+ plt.show()
+````
+
+![result](./images/11_2.png)
+
+
+
+
+랜덤 포리스트 (Random Forest)
+
+
+````python
+ import pandas as pd
+ from sklearn import datasets
+ from sklearn.model_selection import train_test_split
+ from sklearn.ensemble import RandomForestClassifier
+ from sklearn import metrics
+
+ iris = datasets.load_iris()
+ print('Class names :', iris.target_names)
+ print('target : [0:setosa, 1:versicolor, 2:virginical]')
+ print('No. of Data :', len(iris.data))
+ print('Featrue names :', iris.feature_names)
+
+ data = pd.DataFrame({
+ 'sepal length': iris.data[:,0], 'sepal width': iris.data[:,1], 'petal length': iris.data[:,2],
+ 'petal width':iris.data[:,3], 'species':iris.target
+ })
+ print(data.head()) # 일부 데이터 출력
+
+ x = data[['sepal length', 'sepal width', 'petal length', 'petal width']] # 입력
+ y = data['species'] # 출력
+ x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3) # 테스트 데이터 30%
+ print('No. of traing data: ', len(x_train))
+ print('No. of test data:', len(y_test))
+
+ forest = RandomForestClassifier(n_estimators=100) # 모델 생성
+ forest.fit(x_train, y_train)
+
+ y_pred = forest.predict(x_test) # 추론 (예측)
+ print('Accuracy :', metrics.accuracy_score(y_test, y_pred))
+````
+
+
+
+Result
+
+
+````planetext
+ Class names : ['setosa' 'versicolor' 'virginica']
+ target : [0:setosa, 1:versicolor, 2:virginical]
+ No. of Data : 150
+ Featrue names : ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']
+ sepal length sepal width petal length petal width species
+ 0 5.1 3.5 1.4 0.2 0
+ 1 4.9 3.0 1.4 0.2 0
+ 2 4.7 3.2 1.3 0.2 0
+ 3 4.6 3.1 1.5 0.2 0
+ 4 5.0 3.6 1.4 0.2 0
+ No. of traing data: 105
+ No. of test data: 45
+ Accuracy : 0.9333333333333333
+````
+
+
+
+
+배깅 회귀 (Bagging Regression)
+
+
+````python
+ import numpy as np
+ import pandas as pd
+ from sklearn.datasets import load_boston # scikit-leanr < 1.2
+ # from sklearn.datasets import fetch_california_housing # replace dataset
+ from sklearn.metrics import mean_squared_error
+ from sklearn.model_selection import train_test_split
+ from sklearn.ensemble import BaggingRegressor
+ from sklearn.tree import DecisionTreeRegressor
+ import matplotlib.pyplot as plt
+
+ boston = load_boston() # < 1.2
+ data = pd.DataFrame(boston.data)
+ data.columns = boston.feature_names
+ data['PRICE'] = boston.target
+ print(data.head())
+
+ # replace dataset
+ # california = fetch_california_housing()
+ # data = pd.DataFrame(california.data)
+ # data.columns = california.feature_names
+ # data['PRICE'] = california.target
+ # print(data.head())
+
+ X, y = data.iloc[:,:-1],data.iloc[:,-1]
+ X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=123)
+ bag = BaggingRegressor(base_estimator = DecisionTreeRegressor( ), n_estimators = 10,
+ max_features=1.0, bootstrap_features=False, random_state=0)
+ bag.fit(X_train,y_train)
+ preds = bag.predict(X_test)
+ rmse = np.sqrt(mean_squared_error(y_test, preds))
+ print("RMSE: %f" % (rmse))
+
+````
+
+
+
+Result
+
+
+````planetext
+ CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX
+ 0 0.00632 18.0 2.31 0.0 0.538 6.575 65.2 4.0900 1.0 296.0
+ 1 0.02731 0.0 7.07 0.0 0.469 6.421 78.9 4.9671 2.0 242.0
+ 2 0.02729 0.0 7.07 0.0 0.469 7.185 61.1 4.9671 2.0 242.0
+ 3 0.03237 0.0 2.18 0.0 0.458 6.998 45.8 6.0622 3.0 222.0
+ 4 0.06905 0.0 2.18 0.0 0.458 7.147 54.2 6.0622 3.0 222.0
+
+ PTRATIO B LSTAT PRICE
+ 0 15.3 396.90 4.98 24.0
+ 1 17.8 396.90 9.14 21.6
+ 2 17.8 392.83 4.03 34.7
+ 3 18.7 394.63 2.94 33.4
+ 4 18.7 396.90 5.33 36.2
+ RMSE: 4.594919
+````
+
+
+
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diff --git a/앙상블과제_2022254026김홍열.ipynb b/앙상블과제_2022254026김홍열.ipynb
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@@ -0,0 +1,919 @@
+{
+ "cells": [
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### [실습] 배깅(bagging, bootstrap aggregating)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import matplotlib as mpl\n",
+ "import matplotlib.pyplot as plt\n",
+ "from sklearn.datasets import load_iris\n",
+ "from sklearn.tree import DecisionTreeClassifier\n",
+ "from sklearn.ensemble import BaggingClassifier"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "iris = load_iris()\n",
+ "X, y = iris.data[:, [0,2]], iris.target\n",
+ "\n",
+ "model1 = DecisionTreeClassifier(max_depth =10, random_state=0).fit(X, y)\n",
+ "model2 = BaggingClassifier(DecisionTreeClassifier(max_depth=4), n_estimators=50, random_state=0).fit(X, y)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "