Closed vishalhedgevantage closed 2 years ago
Hello @vishalhedgevantage another approach to solving classification on highly imbalanced dataset is to predict based on a threshold. MLJ offers a wrapper model called BinaryThreshholdPredictor
that does this.
Just type
julia> using MLJ
julia> ?BinaryThreshholdPredictor`
for more info.
@vishalhedgevantage Thanks for flagging this good suggestion.
The TunedModel interface supports parameter - weights but not class_weights. For classification problems with highly imbalanced classes, we need tuned model measures working with class weights.