Display and analyze ROC curves in R

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

A light and flexible R package to evaluate GWAS-based gene prioritization methods for complex traits.

Survival modelling using Cox proportional hazard regression model

ROC-GLM for DataSHIELD

Clustering validation with ROC Curves

Shiny app for generation of ROC curves

R Code and synthetic data accompanying the paper "Identifying patients using antidepressants for the treatment of depression"

Evaluation of Binary Classifiers

Class to perform cross validation and draw ROC curves for Test and Training data

My Master Degree Project

R-based mental-health analytics project featuring data prep, exploratory analysis, GLM/decision-tree models, and ROC/AUC evaluation in a reproducible workflow.

Results of binary classification of Yelp reviews as pertaining to conventional or alternative medicine using random forests

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.

You can find exercises and codes realized during this lecture

Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for each model for a test dataset. Variables that appear to be important for predicting outcome. Plotted and described the ROC curves and AUC for the four mo…

Data Science (Data preprocessing) along with machine learning where patients with digestive and kidney diseases are predicted using(kNN, Naïve Bayes , and Random Forest) classifiers in R Programming Language

This repository contain scripts for ML, single-cell, and proteomics identification of critical regulators of immune cell infiltration and microglia-mediated neuroinflammation following TBI.

Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.

Naive Bayes, Confusion Matrix, and ROC Analysis were conducted using R to determine how different variables lead to a customer of a bank taking out a personal bank loan.