Showcase for using H2O and R for scoring for marketing campaign in retail
-
Updated
Aug 26, 2018 - R
Showcase for using H2O and R for scoring for marketing campaign in retail
Compare different differential abundance and expression methods
Rapid Calculation of Model Metrics
Computationally efficient confidence intervals for cross-validated AUC estimates in R
Tests and confidence intervals for differences in cross-validated AUC
Estimators of cross-validated prediction metrics with improved small sample performance
stress detection in social networks
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…
A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.
ROC-GLM for DataSHIELD
R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.
This repository is about the source codes of an explainable algorithm for detecting drug-induced QT-prolongation at risk of torsades de pointes (TdP) regardless of heart rate and T-wave morphology, its comparison with a rule-based decision tree model and the data analysis underpinning the findings reported in the preprint paper submitted to the …
University of Tehran - Spring 2020
A R package for computational tools of meta-analysis of diagnostic accuracy test. This package enables computations of confidence interval for AUC of summary ROC curve and some related AUC-based inference methods.
Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC
Tools to Analyze Discounting Data
ROC-GLM and calibration analysis for DataSHIELD
Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification with complex survey data.
An R package to quantify the performance of a binary classifier
Add a description, image, and links to the auc topic page so that developers can more easily learn about it.
To associate your repository with the auc topic, visit your repo's landing page and select "manage topics."