Python3 Here is a snippet of my Python code. Why am I getting a from sklearn imp

Question

Python3

Here is a snippet of my Python code. Why am I getting a

from sklearn import svm

X = []
Y = []

X = np.array(x3)
Y = np.array(y3)
validation_size = 0.20
seed = 7

X.reshape(-1, 1)
Y.reshape(-1, 1)

X_train, X_validation, Y_train, Y_validation = model_selection.train_test_split(X, Y, test_size=validation_size, random_state=seed)

cmap_light = ListedColormap(['#AAAAFF', '#FFAAAA'])
cmap_bold = ListedColormap(['#0000FF', '#FF0000'])

svm_clf= svm.SVC()

SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovo', degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False)

svm_clf.fit(X_train,Y_train)

Explanation / Answer

X = []
Y = []

X = np.array(x3)
Y = np.array(y3)
validation_size = 0.20
seed = 7

X.reshape(-1, 1)
Y.reshape(-1, 1)

X_train, X_validation,

Y_train, Y_validation = model_selection.train_test_split(X, Y, test_size=validation_size, random_state=seed)

cmap_light = ListedColormap(['#AAAAFF', '#FFAAAA'])
cmap_bold = ListedColormap(['#0000FF', '#FF0000'])

svm_clf= svm.SVC()

SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovo',

degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=False,

random_state=None, shrinking=True,
tol=0.001, verbose=False)

svm_clf.fit(X_train,Y_train)

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