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Machine Learning, Regression Algorithms, Classification Algorithms,…
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Metrics
Regression
r2 Score
compare our current model with a constant baseline and tells us how much our model is better. The constant baseline is chosen by taking the mean of the data and drawing a line at the mean
Mean Sq Error
It is simply the average of the squared difference between the target value and the value predicted by the regression model.
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Root Mean Sq Error
square root of the averaged squared difference between the target value and the value predicted by the model
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