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Showing posts with the label Cross Validation
Predict_proba For A Cross-validated Model

Predict_proba For A Cross-validated Model

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I would like to predict the probability from Logistic Regression model with cross-validation. I kno… Read more Predict_proba For A Cross-validated Model
Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

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Im using Xgboost implementation on sklearn for a kaggle's competition. However, im getting this… Read more Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few
Why Xgboost.cv And Sklearn.cross_val_score Give Different Results?

Why Xgboost.cv And Sklearn.cross_val_score Give Different Results?

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I'm trying to make a classifier on a data set. I first used XGBoost: import xgboost as xgb impo… Read more Why Xgboost.cv And Sklearn.cross_val_score Give Different Results?