xgbr.score(x_test, y_test) # Returns 0.917 y_pred = xgbr.predict(x_test) r2_score(y_pred, y_test) # Returns 0.903 What's going on? I couldn't find any documentation on XGBoost's score method. I'm using v0.7 python scikit-learn xgboost Share Follow edited Jan 31, 2018 at ...
As per the documentation, you can pass in an argument which defines which type of score importance you want to calculate: ‘weight’ - the number of times a feature is used to split the data across all trees. ‘gain’ - the average gain across all splits the feature is used in. ‘co...
XGBoost Documentation import xgboost as xgb from sklearn.metrics import r2_score # step1:读取数据 xgb.DMatrix() dtrain = xgb.DMatrix(Xtrain,Ytrain) dtest = xgb.DMatrix(Xtest,Ytest) # step2:设置参数 param = {} # params {eta, gamma, max_depth, min_child_weight, max_delta_step, subs...
在过去的几年中,XGBoost被广泛用于表格数据推断,并且赢得了数百个挑战。但是,仅仅通过XGBoost并不能...
11.8s 53 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy 11.8s 54 df_corr["hour"] = df_corr["Unnamed: 0"].dt.hour 11.8s 55 /tmp/ipykernel_18/2644816695.py:6: SettingWithCopyWarning: ...
Very helpful! I'm restarting in data science practice again; this was a great refresher! Sachin SD Topic Author Posted5 months ago · Posted on Version 6 of 12 Thank you for the kind words Bobby. Please keep checking the notebook again. I have updated the architecture, documentation and ...