Xgboost

muti_xgb = XGBClassifier(n_estimators=2000, max_depth=5, learning_rate=0.025, 
                          eval_metric='mlogloss', reg_lambda=1, random_state=10, n_jobs=8,objective='multi:softprob',num_class=18)
muti_xgb = OneVsRestClassifier(XGBClassifier())
muti_xgb.fit(X_train,y_train)
y_predict = muti_xgb.predict(X_test)
print(accuracy_score(y_test, y_predict))

准确率：0.7932

Lightgbm

muti_lgb = OneVsRestClassifier(LGBMClassifier())
muti_lgb.fit(X_train,y_train)
y_predict = muti_lgb.predict(X_test)
print(accuracy_score(y_test, y_predict))

准确率：0.6152

Decisionclassifier

clf = DecisionTreeClassifier(random_state=0)
clf.fit(X_train, y_train)
y_predict = clf.predict(X_test)
print(accuracy_score(y_test, y_predict))

准确率：0.5264