95 level mean rel region size 095 level total number

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Unformatted text preview: d Instances 6 4 % Kappa statistic 0.94 Mean absolute error . 0.0409 . . . . . Root mean squared error Relative absolute error Root relative squared error Coverage of cases (0.95 level) Mean rel. region size (0.95 level) Total Number of Instances === Confusion Matrix === abc <-- classified as 50 0 0 | a = Iris-setosa 0 48 2 | b = Iris-versicolor 0 4 46 | c = Iris-virginica 0.1547 9.2036 32.8234 98.6667 37.7778 150 > evaluate_Weka_classifier(classifier, numFolds === 150 Fold Cross Validation === === Summary === Correctly Classified Instances 144 Incorrectly Classified Instances 6 Kappa statistic 0.94 Mean absolute error 0.0414 Root mean squared error 0.1473 Relative absolute error 9.2526 Root relative squared error 31.043 Coverage of cases (0.95 level) .99.3333 . % % % % = 150) 96 4 % % % . . % % . . Mean rel. region size (0.95 level) Total Number of Instances === Confusion Matrix === abc <-- classified as 50 0 0 | a = Iris-setosa 0 48 2 | b = Iris-versicolor 0 4 46 | c = Iris-virginica 38.8889 % 150 . . . . . . diab.ld.cv=lda(diab[,1:5],grouping=diab[,6],CV=T) names(diab.ld) [1] "class" "posterior" "call" > table(diab.ld.cv$class,diab[,6]) 123 1 25 0 0 2 6 30 3 3 1 6 73 diab.ld=lda(diab[,1:5],grouping=diab[,6]) names(diab.ld) [1] "prior" "counts" "means" "scaling" "lev" "svd" "N" [8] "call" > table(predict(diab.ld,diab[,1:5])$class,diab[,6]) 123 1 26 0 0 2 5 31 3 3 1 5 73 . . . . . ....
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This document was uploaded on 02/16/2014 for the course STATISTICS 3026 at Columbia.

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