Metrics: Evaluation Metrics for Machine Learning

Canonical link: https://rscholar.com/pkg/Metrics

Ben Hamner • Michael Frasco • Erin LeDell • View description and downloads View dependencies GitHub project

2012 Published

0.1.4 Version

0 Citations

3 Authors

Referenced by ⇅	Year
SPOTMisc: Misc Extensions for the "SPOT" Package (Version 1.19.52)	2021
VARMER: Variational Merging (Version 1.0.0)	2021
workboots: Generate Bootstrap Prediction Intervals from a "tidymodels" Workflow (Version 0.2.0)	2022
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)	2022
PUPAIM: A Collection of Physical and Chemical Adsorption Isotherm Models (Version 0.3.1)	2019
MetaIntegrator: Meta-Analysis of Gene Expression Data (Version 2.1.3)	2016
epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting (Version 0.1.0)	2023
ARGOS: Automatic Regression for Governing Equations (ARGOS) (Version 0.1.1)	2023
ConsReg: Fits Regression & ARMA Models Subject to Constraints to the Coefficient (Version 0.1.0)	2020
Greymodels: Shiny App for Grey Forecasting Model (Version 2.0.1)	2022
ImFoR: Non-Linear Height Diameter Models for Forestry (Version 0.1.0)	2023
PUPAK: Parameter Estimation, and Plot Visualization of Adsorption Kinetic Models (Version 0.1.1)	2022
PUPMSI: Moisture Sorption Isotherm Modeling Program (Version 0.1.0)	2022
PWEV: PSO Based Weighted Ensemble Algorithm for Volatility Modelling (Version 0.1.0)	2024
RSCAT: Shadow-Test Approach to Computerized Adaptive Testing (Version 1.1.3)	2019
RSP: 'shiny' Applications for Statistical and Psychometric Analysis (Version 0.4)	2023
SAMprior: Self-Adapting Mixture (SAM) Priors (Version 1.1.1)	2023
UEI: Compute Uniform Error Index (Version 0.1.0)	2024
WaveletANN: Wavelet ANN Model (Version 0.1.2)	2019
WaveletETS: Wavelet Based Error Trend Seasonality Model (Version 0.1.0)	2023
WaveletGBM: Wavelet Based Gradient Boosting Method (Version 0.1.0)	2023
WaveletKNN: Wavelet Based K-Nearest Neighbor Model (Version 0.1.0)	2023
ai: Build, Predict and Analyse Artificial Intelligence Models (Version 1.0.4.44)	2024
audrex: Automatic Dynamic Regression using Extreme Gradient Boosting (Version 2.0.1)	2021
coursekata: Packages and Functions for 'CourseKata' Courses (Version 0.18.0)	2023
cv: Cross-Validating Regression Models (Version 2.0.3)	2023
dblr: Discrete Boosting Logistic Regression (Version 0.1.0)	2017
featurefinder: Feature Finder (Version 1.1)	2018
gbm.auto: Automated Boosted Regression Tree Modelling and Mapping Suite (Version 2024.10.01)	2021
hybridts: Hybrid Time Series Forecasting Using Error Remodeling Approach (Version 0.1.0)	2023
iml: Interpretable Machine Learning (Version 0.11.3)	2018
immuneSIM: Tunable Simulation of B- And T-Cell Receptor Repertoires (Version 0.8.7)	2019
janus: Optimized Recommending System Based on 'tensorflow' (Version 1.0.0)	2022
kssa: Known Sub-Sequence Algorithm (Version 0.0.1)	2022
lilikoi: Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)	2018
luz: Higher Level 'API' for 'torch' (Version 0.4.0)	2021
manymodelr: Build and Tune Several Models (Version 0.3.7)	2019
mlr3shiny: Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)	2020
phytoclass: Estimate Chla Concentrations of Phytoplankton Groups (Version 1.2.0)	2023
poolHelper: Simulates Pooled Sequencing Genetic Data (Version 1.1.0)	2023
populR: Population Downscaling Using Areal Interpolation (Version 0.2.1)	2021
predtoolsTS: Time Series Prediction Tools (Version 0.1.1)	2017
previsionio: 'Prevision.io' R SDK (Version 11.7.0)	2021
s2net: The Generalized Semi-Supervised Elastic-Net (Version 1.0.7)	2020
scoringutils: Utilities for Scoring and Assessing Predictions (Version 1.2.2)	2020
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)	2021
sjSDM: Scalable Joint Species Distribution Modeling (Version 1.0.6)	2022
superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)	2018
tfdatasets: Interface to 'TensorFlow' Datasets (Version 2.17.0)	2018

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