Introduction | 1. Installing and Loading the Package | 2. Built-in Datasets | Flower Classification | Logic Gate Datasets | AND Gate Dataset | OR Gate Dataset | XOR Gate Dataset | Vehicle Classification | Extended Vehicle Classification | Regression Test | 3. Algorithm Implementations | K-Nearest Neighbors (KNN) | Decision Trees | Perceptron | Regression Analysis
Package: UAHDataScienceSC 1.0.0
UAHDataScienceSC: Learn Supervised Classification Methods Through Examples and Code
Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
Authors:
UAHDataScienceSC_1.0.0.tar.gz
UAHDataScienceSC_1.0.0.zip(r-4.7)UAHDataScienceSC_1.0.0.zip(r-4.6)UAHDataScienceSC_1.0.0.zip(r-4.5)
UAHDataScienceSC_1.0.0.tgz(r-4.6-any)UAHDataScienceSC_1.0.0.tgz(r-4.5-any)
UAHDataScienceSC_1.0.0.tar.gz(r-4.7-any)UAHDataScienceSC_1.0.0.tar.gz(r-4.6-any)
UAHDataScienceSC_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
UAHDataScienceSC/json (API)
| # Install 'UAHDataScienceSC' in R: |
| install.packages('UAHDataScienceSC', repos = c('https://andriyprotsak5.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andriyprotsak5/uahdatasciencesc/issues
Datasets:
- db_flowers - Test Database 5
- db_per_and - Test Database 2
- db_per_or - Test Database 3
- db_per_xor - Test Database 4
- db_tree_struct - Test Database 8
- db1rl - Test Database 1
- db2 - Test Database 6
- db3 - Test Database 7
Last updated from:9d0181c82d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-oldrel-arm64 | OK | 154 | ||
| windows-devel | OK | 114 | ||
| windows-release | OK | 63 | ||
| windows-oldrel | OK | 127 | ||
| wasm-release | OK | 106 |
Exports:act_methoddecision_treeknnmultivariate_linear_regressionperceptronpolynomial_regression
Dependencies:cli
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Activation Function | act_method |
| Test Database 5 | db_flowers |
| Test Database 2 | db_per_and |
| Test Database 3 | db_per_or |
| Test Database 4 | db_per_xor |
| Test Database 8 | db_tree_struct |
| Test Database 1 | db1rl |
| Test Database 6 | db2 |
| Test Database 7 | db3 |
| Decision Tree | decision_tree |
| K-Nearest Neighbors | knn |
| Multivariate Linear Regression | multivariate_linear_regression |
| Perceptron | perceptron |
| Multivariate Polynomial Regression | polynomial_regression |
| Print Tree Structure | print.tree_struct |
