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목록SVM (1)
bro's coding
sklearn.svm.SVC and normalization(breast cancer)
import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.datasets import load_breast_cancer cancer =load_breast_cancer() X=cancer.data y=cancer.target from sklearn.model_selection import train_test_split X_train,X_test,y_train,y_test=train_test_split(X,y) from sklearn.svm import SVC model=SVC() model.fit(X_train,y_train) model.score(X_test,y_test) # 0.6083916083916084 ..
[AI]/python.sklearn
2020. 4. 16. 16:29