导出Python模型结果

Question

您好我在导入为df的数据集上启动了随机林。现在我想导出结果（0-1预测）和预测概率（二维数组）并将它们与我的数据集df匹配。那可能吗？到现在为止，我想出了如何以单独的方式导出到csv。是的，我还不是熊猫专家。任何提示？

# Import the `RandomForestClassifier`
from sklearn.ensemble import RandomForestClassifier


# Create the target and features numpy arrays: 

target = df["target"].values


features =df[["var1",
"var2","var3","var4","var5"]]


features_forest = features

# Building and fitting my_forest
forest = RandomForestClassifier(max_depth = 10, min_samples_split=2, n_estimators = 200, random_state = 1)
my_forest = forest.fit(features_forest, target)

# Print the score of the fitted random forest
print(my_forest.score(features_forest, target))


print(my_forest.feature_importances_)


results = my_forest.predict(features)

print(results)

predicted_probs = forest.predict_proba(features)

#predicted_probs = my_forest.predict_proba(features)

print(predicted_probs)

id_test = df['ID_CONTACT']


pd.DataFrame({"id": id_test, "relevance": results, "probs": predicted_probs }).to_csv('C:\Users\me\Desktop\python\data\submission.csv',index=False)


pd.DataFrame(predicted_probs).to_csv('C:\Users\me\Desktop\python\data\submission_2.csv',index=False)

Answer 1

你应该能够

df['results] = results
df = pd.concat([df, pd.DataFrame(predicted_probs, columns=['Col_1', 'Col_2'])], axis=1)