输出结果

设计思路

核心代码

vec = DictVectorizer(sparse=False)  

X_train = vec.fit_transform(X_train.to_dict(orient='record'))

X_test = vec.transform(X_test.to_dict(orient='record'))

dtc.fit(X_train, y_train)

dtc_y_pred = dtc.predict(X_test)

rfc.fit(X_train, y_train)

rfc_y_pred = rfc.predict(X_test)

rfc.score(X_test, y_test)

classification_report(rfc_y_pred, y_test)

gbc.fit(X_train, y_train)

gbc_y_pred = gbc.predict(X_test)

gbc.score(X_test, y_test)

classification_report(gbc_y_pred, y_test)