| mlearning-package | mlearning: machine learning algorithms with a common UI and confusion matrices |
| confusion | Construct and analyze confusion matrices |
| confusion.default | Construct and analyze confusion matrices |
| confusion.mlearning | Construct and analyze confusion matrices |
| confusionBarplot | Construct and analyze confusion matrices |
| confusionDendrogram | Construct and analyze confusion matrices |
| confusionImage | Construct and analyze confusion matrices |
| confusionStars | Construct and analyze confusion matrices |
| cvpredict | Alternate interface to various machine learning algorithms |
| cvpredict.mlearning | Alternate interface to various machine learning algorithms |
| mlearning | Alternate interface to various machine learning algorithms |
| mlLda | Alternate interface to various machine learning algorithms |
| mlLda.default | Alternate interface to various machine learning algorithms |
| mlLda.formula | Alternate interface to various machine learning algorithms |
| mlLvq | Alternate interface to various machine learning algorithms |
| mlLvq.default | Alternate interface to various machine learning algorithms |
| mlLvq.formula | Alternate interface to various machine learning algorithms |
| mlNaiveBayes | Alternate interface to various machine learning algorithms |
| mlNaiveBayes.default | Alternate interface to various machine learning algorithms |
| mlNaiveBayes.formula | Alternate interface to various machine learning algorithms |
| mlNnet | Alternate interface to various machine learning algorithms |
| mlNnet.default | Alternate interface to various machine learning algorithms |
| mlNnet.formula | Alternate interface to various machine learning algorithms |
| mlQda | Alternate interface to various machine learning algorithms |
| mlQda.default | Alternate interface to various machine learning algorithms |
| mlQda.formula | Alternate interface to various machine learning algorithms |
| mlRforest | Alternate interface to various machine learning algorithms |
| mlRforest.default | Alternate interface to various machine learning algorithms |
| mlRforest.formula | Alternate interface to various machine learning algorithms |
| mlSvm | Alternate interface to various machine learning algorithms |
| mlSvm.default | Alternate interface to various machine learning algorithms |
| mlSvm.formula | Alternate interface to various machine learning algorithms |
| plot.confusion | Construct and analyze confusion matrices |
| plot.mlearning | Alternate interface to various machine learning algorithms |
| predict.mlearning | Alternate interface to various machine learning algorithms |
| predict.mlLda | Alternate interface to various machine learning algorithms |
| predict.mlLvq | Alternate interface to various machine learning algorithms |
| predict.mlQda | Alternate interface to various machine learning algorithms |
| predict.mlRforest | Alternate interface to various machine learning algorithms |
| predict.mlSvm | Alternate interface to various machine learning algorithms |
| print.confusion | Construct and analyze confusion matrices |
| print.mlearning | Alternate interface to various machine learning algorithms |
| print.summary.confusion | Construct and analyze confusion matrices |
| print.summary.lvq | Alternate interface to various machine learning algorithms |
| print.summary.mlearning | Alternate interface to various machine learning algorithms |
| prior | Construct and analyze confusion matrices |
| prior.confusion | Construct and analyze confusion matrices |
| prior<- | Construct and analyze confusion matrices |
| prior<-.confusion | Construct and analyze confusion matrices |
| response | Alternate interface to various machine learning algorithms |
| response.default | Alternate interface to various machine learning algorithms |
| summary.confusion | Construct and analyze confusion matrices |
| summary.lvq | Alternate interface to various machine learning algorithms |
| summary.mlearning | Alternate interface to various machine learning algorithms |
| train | Alternate interface to various machine learning algorithms |
| train.default | Alternate interface to various machine learning algorithms |