随机森林 sklearn - 等值预测

Question

房价挑战 Kaggle 我正在尝试使用 RandomForestClassifier 预测价格。预测后，所有 id 的价格都相同。你知道这个问题吗？

clf = RandomForestClassifier(n_estimators=50)
clf = clf.fit(X_train,y_train)
clf.score(X_train, y_train)
X = df_test2[feature_cols]    
imp = Imputer(missing_values='NaN', strategy='mean', axis=0)
df_imp = imp.fit_transform(X)
df_test_scale = scaler.transform(df_imp)
y_pred = clf.predict(df_test_scale)
predict_prices = pd.DataFrame({"Id" : df_test2['Id'], "SalePrice":y_pred})
predict_prices

Answer 1

修改如下：

clf = RandomForestClassifier(n_estimators=50)
imp = Imputer(missing_values='NaN', strategy='mean', axis=0)
X_train_imp=imp.Transform(X_train)
X_train_scaled=scaler.transform(X_train_imp)
clf = clf.fit(X_train_scaled,y_train)
clf.score(X_train, y_train)
X = df_test2[feature_cols]    
df_imp = imp.fit_transform(X)
df_test_scale = scaler.transform(df_imp)
y_pred = clf.predict(df_test_scale)
predict_prices = pd.DataFrame({"Id" : df_test2['Id'], "SalePrice":y_pred})
predict_prices

Answer 2

由于您已经对训练集进行了缩放，因此使用相同的缩放器缩放测试集。