<gh_stars>1-10
import numpy as np
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score

data = load_breast_cancer()
X = data.data
Y = data.target
n_classifiers = 400
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
print (X_train.shape, Y_train.shape, X_test.shape, Y_test.shape)
import numpy as np
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score

data = load_breast_cancer()
X = data.data
Y = data.target
n_classifiers = 400
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
print (X_train.shape, Y_train.shape, X_test.shape, Y_test.shape)