Display and analyze ROC curves in R and S+

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

R-script addaptation of RATEPOL

A repository for sharing code and my various projects

Includes a package for rank order clustering and modified rank order clustering proposed by Amruthnath (2016)

Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC

Tests and confidence intervals for differences in cross-validated AUC

ROC-GLM and calibration analysis for DataSHIELD

Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve

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

R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.

BEGINNER - This is a classification project for the subject "Data Mining" in the 3rd year of Statistics (SSE) at the University of Milano-Bicocca.

woe credit

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.