auc

alvarouc/polyssifier

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

WLOGSolutions/retail-segmentation-based-marketing-campaing-in-r-and-h2o

Showcase for using H2O and R for scoring for marketing campaign in retail

Russel88/DAtest

Compare different differential abundance and expression methods

marcotav/supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

diditforlulz273/fastauc

Three fast ROC AUC calculation implementations for python

LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning

Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method

JackStat/ModelMetrics

Rapid Calculation of Model Metrics

ledell/cvAUC

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

LeihuaYe/Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

moiji-mobile/hlr

Scalable, Flexible, Extensible HomeLocationRegister (HLR)

UnixJunkie/cpmlib

Classification and Regression Performance Metrics library

nissim-panchpor/Email-Spam-Detecting-ML-Classifier

PerXeptron/X-Ray-Anomaly-Detection-Models

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

arpitg91/PerformanceScoreCard

Get performance metrics and graphs of a scorecard

dsmilab/WSDM2018-KKBox-MRC

:musical_score: Predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.

erdogant/classeval

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

benkeser/cvAUC.plus

Tests and confidence intervals for differences in cross-validated AUC

lewis-morris/Skperopt

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

aifenaike/Probabilistic-Lithology-Characterization

A probability based approach to characterize lithology using drilling data and Random Forests

ilyajob05/ROC_calculation

calculate ROC curve and find threshold for given accuracy

jacobstac/Bachelors-Thesis-Detection-of-Sleep-Apnea

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

benkeser/nlpred

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

nitingour1203/Intelligent-Video-Surveillance

An intelligent video surveillance system also provides video cameras and recording solutions to monitor every part of the building and site perimeter. Yet it also utilizes smart security technology such as sensors and AI models.

CodeLogist/Pneumothorax-Detection-CNN-Keras

Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab

elifmeseci/link-prediction-on-complex-networks

Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions

extremecode/stress-detection-in-social-networks

stress detection in social networks

Nikronic/Pattern-Recognition-IUST

The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology

prasarma/All-Python_Templates-Machine_Learning

All Machine Learning Templates (Seaborn,K fold, Grid Search, Random Search,AUC-ROC for all major algorithms)

saminens/Predicting-Bankruptcy-of-firms

In class Kaggle competition on predicting bankruptcy of a firm

snavgire/SMOTE

Synthetic Minority Over-sampling Technique Implementation

sungcheolkim78/FiDEL

R library - A binary classifier based on the class probability at a given rank following Fermi-Dirac distribution

Taweilo/diabetes-prediction

Leverage Supervised Machine-learning Techiques to Predict Diabetes from Blood Test

sarmitamajumdar/BreastCancerDetection

Breast Cancer prediction with Machine Learning

SkullkyAI/ML-CLASIFICACION-TITANIC-KAGGLE

Práctica de clasificación con Machine Learning en el dataset del Titanic, abordando exploración de datos, preprocesamiento, selección de métricas y modelos, con el objetivo de analizar detalladamente los resultados obtenidos.

zhousrhhh/Credit_Rating_Modeling

Built various machine learning models for banks to develop effective credit rating