...
The basic set of Model Validation metrics against certain dataset (could be the Training dataset or Validation dataset).
There is no complete set of numbers to define the Goodness of fit and different studies may use different sets of Goodness of fit metrics but the basic set is provided by the following table:
...
.
...
The most widely used set in engineering practice is given bysummarized in the table below:
Root Mean Square Deviation (RMSD) | RMSD |
---|---|
Average Absolute Relative Error (AARE) | AARE |
Maximum Absolute Relative Error (MAXARE) | MAXARE |
Coefficient of determination (R2) | R2 |
---|---|
Pearson correlation coefficient (ρP) | ρP |
Correlation skewness | S3 |
See also
...
Formal scienceHuman / Science / Formal Science / System Science / System / Model / Model Validation
[ Mathematics / Statistics / Statistical Metric ]
[ Mean Square Deviation (MSD) = Mean Square Error (MSE) ]
...
[ Coefficient of determination (R2) ][ Pearson correlation coefficient (ρP) ][ Correlation skewness ]