Utilities

These utility functions are meant to provide easy comprehended overall evaluation of Models and Algorithms. For now, the support is limited to Classification Models, but extended further in future.

Metrics.report_stats — Function

report_stats(y_pred, y_true; classwise_stats=true, avg_type="macro", sample_weights=nothing)

A utility function that prints the statistics summary of the model based on provided y_pred and y_true.

Arguments:

y_pred: predicted values
y_true: ground truth values on the basis of which predicted values are to be assessed.
classwise_stats=true: if set true, prints classwise stats along with global stats.
avg_type="macro": Type of average to be used while calculating precision of multiclass models. Can take values as macro, micro and weighted. Default set to macro.
sample_weights: Class weights to be provided when avg_type is set to weighted. Useful in case of imbalanced classes.

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