Script started on Tue Oct 18 11:55:20 2005 magdalena.cs.pitt.edu:1:1> java weka.classifiers.bayes.NaiveBayes -t train.arff -T test.arff Naive Bayes Classifier Class NotSet: Prior probability = 0.03 sepallength: Normal Distribution. Mean = 0 StandardDev = 0.0254 WeightSum = 0 Precision = 0.15238095238095234 sepalwidth: Normal Distribution. Mean = 0 StandardDev = 0.0205 WeightSum = 0 Precision = 0.12307692307692308 petallength: Normal Distribution. Mean = 0 StandardDev = 0.0491 WeightSum = 0 Precision = 0.2944444444444444 petalwidth: Normal Distribution. Mean = 0 StandardDev = 0.0286 WeightSum = 0 Precision = 0.17142857142857143 Class Iris-setosa: Prior probability = 0.32 sepallength: Normal Distribution. Mean = 4.8457 StandardDev = 0.2622 WeightSum = 10 Precision = 0.15238095238095234 sepalwidth: Normal Distribution. Mean = 3.3108 StandardDev = 0.2987 WeightSum = 10 Precision = 0.12307692307692308 petallength: Normal Distribution. Mean = 1.4722 StandardDev = 0.1317 WeightSum = 10 Precision = 0.2944444444444444 petalwidth: Normal Distribution. Mean = 0.2057 StandardDev = 0.0686 WeightSum = 10 Precision = 0.17142857142857143 Class Iris-versicolor: Prior probability = 0.32 sepallength: Normal Distribution. Mean = 6.08 StandardDev = 0.6965 WeightSum = 10 Precision = 0.15238095238095234 sepalwidth: Normal Distribution. Mean = 2.88 StandardDev = 0.3266 WeightSum = 10 Precision = 0.12307692307692308 petallength: Normal Distribution. Mean = 4.3872 StandardDev = 0.5006 WeightSum = 10 Precision = 0.2944444444444444 petalwidth: Normal Distribution. Mean = 1.4057 StandardDev = 0.1494 WeightSum = 10 Precision = 0.17142857142857143 Class Iris-virginica: Prior probability = 0.32 sepallength: Normal Distribution. Mean = 6.5676 StandardDev = 0.7783 WeightSum = 10 Precision = 0.15238095238095234 sepalwidth: Normal Distribution. Mean = 2.9292 StandardDev = 0.3247 WeightSum = 10 Precision = 0.12307692307692308 petallength: Normal Distribution. Mean = 5.7417 StandardDev = 0.5777 WeightSum = 10 Precision = 0.2944444444444444 petalwidth: Normal Distribution. Mean = 2.0229 StandardDev = 0.3235 WeightSum = 10 Precision = 0.17142857142857143 Time taken to build model: 0.02 seconds Time taken to test model on training data: 0.01 seconds === Error on training data === Correctly Classified Instances 29 96.6667 % Incorrectly Classified Instances 1 3.3333 % Kappa statistic 0.95 Mean absolute error 0.0246 Root mean squared error 0.1287 Relative absolute error 7.2722 % Root relative squared error 31.4895 % Total Number of Instances 30 === Confusion Matrix === a b c d <-- classified as 0 0 0 0 | a = NotSet 0 10 0 0 | b = Iris-setosa 0 0 10 0 | c = Iris-versicolor 0 0 1 9 | d = Iris-virginica === Error on test data === Correctly Classified Instances 29 96.6667 % Incorrectly Classified Instances 1 3.3333 % Kappa statistic 0.95 Mean absolute error 0.0166 Root mean squared error 0.1181 Relative absolute error 4.8938 % Root relative squared error 28.9142 % Total Number of Instances 30 === Confusion Matrix === a b c d <-- classified as 0 0 0 0 | a = NotSet 0 10 0 0 | b = Iris-setosa 0 0 10 0 | c = Iris-versicolor 0 0 1 9 | d = Iris-virginica magdalena.cs.pitt.edu:1:2> java weka.classifiers.bayes.NaiveBayes -t train.arff -T test.arff -p 0 0 Iris-setosa 1.0 Iris-setosa 1 Iris-setosa 1.0 Iris-setosa 2 Iris-setosa 1.0 Iris-setosa 3 Iris-setosa 1.0 Iris-setosa 4 Iris-setosa 1.0 Iris-setosa 5 Iris-setosa 1.0 Iris-setosa 6 Iris-setosa 1.0 Iris-setosa 7 Iris-setosa 1.0 Iris-setosa 8 Iris-setosa 0.9999999999999992 Iris-setosa 9 Iris-setosa 1.0 Iris-setosa 10 Iris-versicolor 0.9999417931816915 Iris-versicolor 11 Iris-versicolor 0.9965378956170817 Iris-versicolor 12 Iris-versicolor 0.9991554080904577 Iris-versicolor 13 Iris-versicolor 0.9884279967913596 Iris-versicolor 14 Iris-versicolor 0.9998948561782244 Iris-versicolor 15 Iris-versicolor 0.9935847309391072 Iris-versicolor 16 Iris-versicolor 0.9912838409337656 Iris-versicolor 17 Iris-versicolor 0.9990287367869403 Iris-versicolor 18 Iris-versicolor 0.9904592615063785 Iris-versicolor 19 Iris-versicolor 0.9997287754341538 Iris-versicolor 20 Iris-virginica 0.9996548711948052 Iris-virginica 21 Iris-virginica 0.9927566895374432 Iris-virginica 22 Iris-virginica 0.9999838396923181 Iris-virginica 23 Iris-virginica 0.9989805146369947 Iris-virginica 24 Iris-virginica 0.999999988227137 Iris-virginica 25 Iris-virginica 0.9999993543162522 Iris-virginica 26 Iris-virginica 0.9719016277989027 Iris-virginica 27 Iris-virginica 0.9999999999725537 Iris-virginica 28 Iris-virginica 0.9999999999535337 Iris-virginica 29 Iris-versicolor 0.9144833786952958 Iris-virginica magdalena.cs.pitt.edu:1:3> ^Dexit Script done on Tue Oct 18 11:55:33 2005