def xgbtest(model, x_test, y_test):
# xgtest=xgb.DMatrix(x_test)
#ntreelimits : 如果提前结束了训练，那么在预测时就使用最佳迭代次数
#If early stopping is enabled during training, you can predict with the best iteration.
#y_pre=model.predict(x_test,ntree_limit=model.best_iteration)
y_pre = model.predict(x_test)
score = plot_confuseMatrix(y_test, y_pre)
return y_pre, score
def rfautotest(model, x_test, y_test):
y_pre = model.predict(x_test)
score = plot_confuseMatrix(y_test, y_pre)
return y_pre, score
def lrtest(lrmodel, x_test, y_test):
y_pre = lrmodel.predict(x_test)
score = plot_confuseMatrix(y_test, y_pre)
return y_pre, score