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Projects in Awesome Lists tagged with auc

A curated list of projects in awesome lists tagged with auc .

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https://github.com/ledell/cvauc

Computationally efficient confidence intervals for cross-validated AUC estimates in R

auc confidence-intervals cross-validation machine-learning r statistics variance

Last synced: 27 Oct 2024

https://github.com/ledell/cvAUC

Computationally efficient confidence intervals for cross-validated AUC estimates in R

auc confidence-intervals cross-validation machine-learning r statistics variance

Last synced: 11 Nov 2024

https://github.com/unixjunkie/cpmlib

Classification and Regression Performance Metrics library

auc bedroc classification enrichment-factor mcc ranking roc score-label

Last synced: 15 Oct 2024

https://github.com/erdogant/classeval

Evaluation of supervised predictions for two-class and multi-class classifiers

auc classification evaluation-functions evaluation-metrics plot python receiver-operating-characteristic

Last synced: 18 Oct 2024

https://github.com/lewis-morris/skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

accuracy auc f1-score hyperopt hyperopt-wrapper pandas-dataframe randomsearch rmse sklearn-estimator

Last synced: 11 Nov 2024

https://github.com/benkeser/cvauc.plus

Tests and confidence intervals for differences in cross-validated AUC

auc classification confidence-intervals cross-validation hypothesis-testing prediction

Last synced: 16 Dec 2024

https://github.com/benkeser/nlpred

Estimators of cross-validated prediction metrics with improved small sample performance

auc cross-validation estimating-equations machine-learning tmle

Last synced: 16 Dec 2024

https://github.com/saba-gul/-pycaret-streamline-your-machine-learning-workflow

PyCaret: Simplifying machine learning workflows with a low-code, open-source Python library.

auc classification-report iris-classification low-code machine-learning-algorithms pycaret pycaret-library

Last synced: 14 Nov 2024

https://github.com/rakibhhridoy/handlingimbalanceddataset-business

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.

auc business-intelligence fraud-detection imbalanced-data imbalanced-learning machine-learning oversampling precision recall smote transcations

Last synced: 06 Nov 2024

https://github.com/gasparl/esdi

A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.

accuracy-metrics auc classification diagnostics effect-size power shinyapp

Last synced: 11 Dec 2024

https://github.com/mcol/wevid

An R package to quantify the performance of a binary classifier

auc r-stats weight-of-evidence

Last synced: 12 Nov 2024