Update app.py

app.py

@@ -265,6 +265,7 @@ def train_model(x, y, test_size, algorithm, paras):  # 模型训练
         model = XGBRegressor(
             max_depth=paras["max_depth"], learning_rate=paras["learning_rate"], n_estimators=paras["n_estimators"])
     if algorithm == 5:  # LightGBM回归
+        # model = lgb.LGBMRegressor(objective='regression',boosting_type="dart",num_leaves=30, max_depth=-1,n_estimators=20,learning_rate=1)
         model = lgb.LGBMRegressor(objective='regression', max_depth=paras["max_depth"],
                                   learning_rate=paras["learning_rate"], random_state=paras["random_state"], n_estimators=paras["n_estimators"])