Add ability to optimize probability thresholds for class imbalances without having to create a custom model · Issue #224 · topepo/caret · GitHub
Comparing the performance of machine learning algorithms using estimated accuracy - ScienceDirect
RPubs - Should we optimize Threshold
Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers
Diffusion-Weighted Imaging | SpringerLink
Comparing the performance of machine learning algorithms using estimated accuracy - ScienceDirect
How to work out Multiple R-Squared from the summary of a linear model in R - Cross Validated
use initial grid as input · Issue #1 · yanyachen/rBayesianOptimization · GitHub
Segmentation: Clustering and Classification | SpringerLink
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison | BMC Medical Research Methodology | Full Text
Find the best predictive model using R/caret package/modelgrid | DataScience+
A Short Introduction to the caret Package
OpenMx 2.0: Extended Structural Equation and Statistical Modeling | Psychometrika
Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers
Segmentation: Clustering and Classification | SpringerLink
A Short Introduction to the caret Package
SPSS for Intermediate Statistics Use and Interpretation 2nd Ed
Chapter 3 Classification: Basic Concepts and Techniques | An R Companion for Introduction to Data Mining
Remedies for Severe Class Imbalance | SpringerLink
17 Measuring Performance | The caret Package
Machine Learning for Remote Sensing | Nikhil Kaza
Engineering accuracy metric using caret package in R
Compare The Performance of Machine Learning Algorithms in R - MachineLearningMastery.com
Hybrid multi-document summarization using pre-trained language models - ScienceDirect
Discriminant Analysis, Nearest Neighbor, and Support Vector Machine | SpringerLink
RPubs - Document
