PyTorch-Based Evaluation Tool for Co-Saliency Detection

run a multitude of classifiers on you data and get an AUC report

Three fast ROC AUC calculation implementations for python

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

Test comparison of two VAD models with English and multilingual speech datasets

Get performance metrics and graphs of a scorecard

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

Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)

calculate ROC curve and find threshold for given accuracy

Synthetic Minority Over-sampling Technique Implementation

Solution to Hackerearth Machine Learning Challenge 3

Python and sklearn, KNN, logistic and linear regression, cross-validation

EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

A collection of statistical methods

😉实现链路预测局部算法，并有AUC，精确度，时间三个指标，使用node2vec发现社区

Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.

Códigos em Phyton utilizados na disciplina de engenharia médica, do curso de Engenharia Biomédica do Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo

AUC curve metrics example

Machine learning techniques to deal with the prediction of coronary illness in a patient

Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats