December 24, 2020
The goodness of fit of a machine learning model describes how well the model fits the data i.e. how accurately it is able to identify the patterns in the data. In other words the better the fit the closer the curve described by your model is to data points. Hence a smaller error rate and smaller residuals.
There are many methods to check the goodness of fit of a model and the most common ones are MSE, RMSE, MAE, R-squared statistics, adjusted R-squared statistics
by : Monis Khan
Quick Summary:
The goodness of fit of a machine learning model describes how well the model fits the data i.e. how accurately it is able to identify the patterns in the data. In other words the better the fit the closer the curve described by your model is to data points. Hence a smaller error rate and […]