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purva91/loop_k_values

Created September 9, 2019 12:54
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loop_k_values
train_score = []
test_score = []
k_vals = []
for k in range(1, 201, 5):
k_vals.append(k)
knn = KNeighborsClassifier(n_neighbors = k)
knn.fit(X_train, y_train)
y_pred = knn.predict(X_test)
tr_score = knn.score(X_train, y_train)
#print(k, tr_score)
train_score.append(tr_score)
te_score = knn.score(X_test, y_test)
#print(k, te_score)
test_score.append(te_score)
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