mlearning
(Package: mlearning) :
Alternate interface to various machine learning algorithms
In order to provide a unified (formula-based) interface to various machine learning algorithms, these function wrap a common UI around a couple of existing code.
● Data Source:
CranContrib
● Keywords: tree
● Alias: cvpredict, cvpredict.mlearning, mlLda, mlLda.default, mlLda.formula, mlLvq, mlLvq.default, mlLvq.formula, mlNaiveBayes, mlNaiveBayes.default, mlNaiveBayes.formula, mlNnet, mlNnet.default, mlNnet.formula, mlQda, mlQda.default, mlQda.formula, mlRforest, mlRforest.default, mlRforest.formula, mlSvm, mlSvm.default, mlSvm.formula, mlearning, plot.mlearning, predict.mlLda, predict.mlLvq, predict.mlQda, predict.mlRforest, predict.mlSvm, predict.mlearning, print.mlearning, print.summary.lvq, print.summary.mlearning, response, response.default, summary.lvq, summary.mlearning, train, train.default
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confusion
(Package: mlearning) :
Construct and analyze confusion matrices
Confusion matrices compare two classifications (usually one done automatically using a machine learning algorithm versus the true classication represented by a manual classification by a specialist... but one can also compare two automatic or two manual classifications against each other).
● Data Source:
CranContrib
● Keywords: tree
● Alias: confusion, confusion.default, confusion.mlearning, confusionBarplot, confusionDendrogram, confusionImage, confusionStars, plot.confusion, print.confusion, print.summary.confusion, prior, prior.confusion, prior<-, prior<-.confusion, summary.confusion
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providing 
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