Man pages for mlearning
Machine Learning Algorithms with Unified Interface and Confusion Matrices
| confusion | Construct and analyze confusion matrices |
| mlearning | Machine learning model for (un)supervised classification or... |
| mlearning-package | Machine Learning Algorithms with Unified Interface and... |
| mlKnn | Supervised classification using k-nearest neighbor |
| mlLda | Supervised classification using linear discriminant analysis |
| mlLvq | Supervised classification using learning vector quantization |
| mlNaiveBayes | Supervised classification using naive Bayes |
| mlNnet | Supervised classification and regression using neural network |
| mlQda | Supervised classification using quadratic discriminant... |
| mlRforest | Supervised classification and regression using random forest |
| mlRpart | Supervised classification and regression using recursive... |
| mlSvm | Supervised classification and regression using support vector... |
| plot.confusion | Plot a confusion matrix |
| prior | Get or set priors on a confusion matrix |
| response | Get the response variable for a mlearning object |
| train | Get the training variable for a mlearning object |
