cost-sensitive

There are 10 repositories under cost-sensitive topic.

Treers/MetaCost
P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.
Language:Python39 1 18
yangarbiter/multilabel-learn
multilabel-learn: Multilabel-Classification Algorithms
Language:Python36 3 34
ej0cl6/csmlc
Cost-Sensitive Multi-Label Classification
Language:Logos19 4 16
gulabpatel/Handle_Imbalance
Language:Jupyter Notebook7 1 00
ej0cl6/csmcal
Cost-Sensitive Multi-Class Active Learning
Language:Logos6 4 05
Faysal-MD/Unmasking-Deepfake-Faces-from-Videos-An-Explainable-Cost-Sensitive-Deep-Learning-Approach-IEEE2023
Deepfake faces detection from forged videos where used explainable AI for models' robustness as well as cost sensitive methods for mitigating dataset imbalance problem
Language:Jupyter Notebook6 1 13
DEC4F/cost-sensitive-knn
Implementation of cost sensitive KNN algorithm described in Qin, et al, 2013
Language:Python5 1 03
zislam/CSForest
Weka implementation of the cost-sensitive decision forest algorithm CSForest.
Language:Java1 1 00
mikesiers/DataCost
Calculate cost based metrics about data based on the number of positive and negative data points.
Language:Python0 2 90
sangttruong/nonmyopia
Amortized Nonmyopic Bayesian Optimization in the Dynamic Cost Settings
Language:Python00