Threshold Tuning for Classification Tasks

mlr3tuning tuning optimization nested resampling mlr3pipelines pima data set german credit data set iris data set classification

Predicting probabilities in classification tasks allows us to adjust the probability thresholds required for assigning an observation to a certain class. This can lead to improved predictive performance.

Florian Pfisterer
10-14-2020

Post moved to mlr-org.com/gallery/2020-10-14-threshold-tuning/.

Citation

For attribution, please cite this work as

Pfisterer (2020, Oct. 14). mlr3gallery: Threshold Tuning for Classification Tasks. Retrieved from https://mlr3gallery.mlr-org.com/posts/2020-10-14-threshold-tuning/

BibTeX citation

@misc{pfisterer2020threshold,
  author = {Pfisterer, Florian},
  title = {mlr3gallery: Threshold Tuning for Classification Tasks},
  url = {https://mlr3gallery.mlr-org.com/posts/2020-10-14-threshold-tuning/},
  year = {2020}
}