inchara1990 / R-code-Classifiers
The R code compares the performance metrics between logistic regression, SVM, Naive Bayes, Knn and random forest classifers in a 10 fold cross validation loop. The features are iteratively selected in a forward selection manner and everytime a new feature(next best feature selected based on regsubsets) is added the accuracy of the classifers ar…
☆14Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for R-code-Classifiers
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆41Updated 2 months ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated 3 months ago
- Practical examples for the R caret machine learning package☆67Updated 7 years ago
- Youtube companion (https://www.youtube.com/watch?v=1Mt7EuVJf1A&feature=youtu.be) - Brief introduction to the SMOTE R package to super-sam…☆11Updated 10 years ago
- Biostatistics 301: Introduction to Statistical Computing☆79Updated 6 years ago
- We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast can…☆12Updated 4 years ago
- Diverse Cluster Ensemble in R☆37Updated 9 months ago
- Survival Support Vector Analysis☆16Updated 5 years ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆146Updated 2 years ago
- Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn☆33Updated last year
- R package for Cardiovascular Risk Dataset and Data generation script☆13Updated 5 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆31Updated 2 years ago
- 17 Classification Algorithms using R☆55Updated 8 years ago
- ☆23Updated 4 years ago
- R Deep Learning Cookbook, published by Packt☆30Updated last year
- Download, integration and visualizations of the variety & volume of TCGA data.☆51Updated 2 years ago
- Appendix to the paper "Developing clinical prediction models: a step-by-step practical guide with examples in R"☆28Updated 7 months ago
- This repository contains my ML scripts in R☆31Updated 7 years ago
- High-dimensional Mediation Analysis (HIMA)☆23Updated 3 weeks ago
- R wrapper for Multicore t-SNE☆29Updated 6 years ago
- 🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)☆46Updated 5 years ago
- RISmed is an R package for downloading and analyzing data from the NCBI databases☆38Updated 9 months ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆45Updated 4 years ago
- R code for SEER data analysis of solid tumor in different populations☆19Updated 6 years ago
- 🔬 Analysis and visualization of Droplet Digital PCR data in R and on the web☆60Updated 7 months ago
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆86Updated 2 years ago
- GeMTC R package: model generation for network meta-analysis☆44Updated 3 months ago
- ☆11Updated 7 years ago