Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers
A stacking ensemble deep learning approach to cancer type classification based on TCGA data | Scientific Reports
multiClassSummary · Issue #107 · topepo/caret · GitHub
IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
Diffusion-Weighted Imaging | SpringerLink
Chapter 53 Supervised Statistical Learning Using Lasso Regression | R for HR: An Introduction to Human Resource Analytics Using R
multiClassSummary of binary classification errs (unsurpringly but quite harsly) · Issue #587 · topepo/caret · GitHub
Revolutions: packages
Logistics in Poultry. Predicting when birds should be send to… | by Dr. Marc Jacobs | MLearning.ai | Medium
Random Forests
Caret Package - A Complete Guide to Build Machine Learning in R
5 Model Training and Tuning | The caret Package
Caret Package - A Complete Guide to Build Machine Learning in R
Machine Learning Evaluation Metrics in R - MachineLearningMastery.com
A Short Introduction to the caret Package
How to work out Multiple R-Squared from the summary of a linear model in R - Cross Validated
Credit Card Fraud Detection Using Common Supervised Learning Algorithms | Zuzanna Liberto
Find the best predictive model using R/caret package/modelgrid | DataScience+
Chapter 7. Learning (II): SVM & Ensemble Learning | Data Analytics: A Small Data Approach
Exploratory Data Analysis in R: Data Summarising, Visualization, and Predictive Model – Regenerative
Renglish | Freakonometrics
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison | BMC Medical Research Methodology | Full Text
Linear latent variable models: the lava-package | SpringerLink
Chapter 3 Classification: Basic Concepts and Techniques | An R Companion for Introduction to Data Mining
