MLmetrics: Machine Learning Evaluation Metrics

Canonical link: https://scholar.rpkg.net/pkg/MLmetrics

Yachen Yan • View description and downloads View dependencies GitHub project

2015 Published

1.1.3 Version

0 Citations

1 Authors

Referenced by ⇅	Year
healthcareai: Tools for Healthcare Machine Learning (Version 2.5.1)	2017
GroupBN: Inferring Group Bayesian Networks using Hierarchical Feature Clustering (Version 1.2.0)	2020
ImNN: Neural Networks for Predicting Volume of Forest Trees (Version 0.1.0)	2023
InterNL: Time Series Intervention Model Using Non-Linear Function (Version 0.1.0)	2024
alookr: Model Classifier for Binary Classification (Version 0.3.9)	2020
boostingDEA: A Boosting Approach to Data Envelopment Analysis (Version 0.1.0)	2023
caret: Classification and Regression Training (Version 6.0-94)	2007
cornet: Elastic Net with Dichotomised Outcomes (Version 0.0.9)	2019
daltoolbox: Leveraging Experiment Lines to Data Analytics (Version 1.0.767)	2023
dendroTools: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data (Version 1.2.11)	2017
etree: Classification and Regression with Structured and Mixed-Type Data (Version 0.1.0)	2022
evinf: Inference with Extreme Value Inflated Count Data (Version 0.8.8)	2023
gspcr: Generalized Supervised Principal Component Regression (Version 0.9.5)	2023
isotree: Isolation-Based Outlier Detection (Version 0.6.1-1)	2019
less: Learning with Subset Stacking (Version 0.1.0)	2022
lilikoi: Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)	2018
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)	2020
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
yager: Yet Another General Regression Neural Network (Version 0.1.1)	2020

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.