Kaggle evaluation metrics used for regression problems


This post describe evaluation metrics used in Kaggle competitions where problem to solve is has regression nature. Eight different metrics are described, namely: Absolute Error (AE), Mean Absolute Error (MAE), Weighted Mean Absolute Error (WMAE), Pearson Correlation Coefficient, Spearman’s Rank Correlation, Root Mean Squared Error (RMSE), Root Mean Squared Logarithmic Error (RMSLE), Mean Columnwise Root Mean Squared Error (MCRMSE).

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What’s cooking


Exploratory Data Anlysis of the Kaggle’s “What’s cooking” competition dataset to get understanding what kind of data we are dealing with and get intuition of existing dependecies.

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