ShimantoRahman/empulse

Value-driven and cost-sensitive analysis for scikit-learn

Language: Python - Size: 13.2 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 21 - Forks: 1

sangttruong/nonmyopia

Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings

Language: Python - Size: 1.03 GB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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 Notebook - Size: 6.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

zislam/CSForest

Weka implementation of the cost-sensitive decision forest algorithm CSForest.

Language: Java - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ej0cl6/csmcal

Cost-Sensitive Multi-Class Active Learning

Language: Logos - Size: 112 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 5

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: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 37 - Forks: 8

yangarbiter/multilabel-learn

multilabel-learn: Multilabel-Classification Algorithms

Language: Python - Size: 2.28 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 32 - Forks: 5

ej0cl6/csmlc

Cost-Sensitive Multi-Label Classification

Language: Logos - Size: 2.49 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 19 - Forks: 5

gulabpatel/Handle_Imbalance

Language: Jupyter Notebook - Size: 190 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

DEC4F/cost-sensitive-knn

Implementation of cost sensitive KNN algorithm described in Qin, et al, 2013

Language: Python - Size: 860 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3

mikesiers/DataCost

Calculate cost based metrics about data based on the number of positive and negative data points.

Language: Python - Size: 35.2 KB - Last synced at: 21 days ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0