The xgboost model itself computes a notion of feature importance: import mlflow. sklearn best_run_id = “. ” model = mlflow.…
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How Do You Measure If Your Customer Churn Predictive Model Is Good?
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Continue ReadingBuilding a GradientBoostingRegressor to predict NBA player salaries
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Understanding how to explain predictions with “explanation vectors”Pol FerrandoBlockedUnblockFollowFollowingJan 10In a recent post I introduced three existing approaches to explain…
Continue ReadingDetecting Algorithmic Bias and Skewed Decision Making
When considering all predictor variables, including the race attribute, the model learned to correlate race with the criminality outcome..Then, the…
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