房价挑战卡格尔我正试图用RandomForestClassifier预测房价。预测之后,所有id的价格都是一样的。你对这个问题有什么想法吗?
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
发布于 2019-02-28 18:27:01
由于您已经对训练集进行了缩放,因此使用相同的缩放器来缩放测试集。
发布于 2019-02-28 21:27:46
更改如下:
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
https://stackoverflow.com/questions/54923345
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