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model.txt
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model.txt
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***DATASET 1***
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 1
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 2
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 3
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 4
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0389
Root mean squared error 0.1149
Relative absolute error 8.4441 %
Root relative squared error 23.4863 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
petalwidth = '(1.75-inf)': Iris-virginica
Validation 5
Correctly Classified Instances 14 93.3333 %
Incorrectly Classified Instances 1 6.6667 %
Kappa statistic 0
Mean absolute error 0.0711
Root mean squared error 0.2366
Relative absolute error 14.4314 %
Root relative squared error 45.2781 %
Total Number of Instances 15
Id3
petallength = '(-inf-2.45]': Iris-setosa
petallength = '(2.45-4.75]'
| sepallength = '(-inf-5.55]': Iris-versicolor
| sepallength = '(5.55-6.15]': Iris-versicolor
| sepallength = '(6.15-inf)': Iris-versicolor
petallength = '(4.75-inf)'
| petalwidth = '(-inf-0.8]': null
| petalwidth = '(0.8-1.75]'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
| petalwidth = '(1.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]'
| | | sepalwidth = '(-inf-2.95]': Iris-virginica
| | | sepalwidth = '(2.95-3.35]': Iris-virginica
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(6.15-inf)': Iris-virginica
Validation 6
Correctly Classified Instances 14 93.3333 %
Incorrectly Classified Instances 1 6.6667 %
Kappa statistic 0
Mean absolute error 0.1111
Root mean squared error 0.2635
Relative absolute error 22.549 %
Root relative squared error 50.4211 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 7
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0167
Root mean squared error 0.0456
Relative absolute error 3.6189 %
Root relative squared error 9.3325 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 8
Correctly Classified Instances 13 86.6667 %
Incorrectly Classified Instances 2 13.3333 %
Kappa statistic 0
Mean absolute error 0.0667
Root mean squared error 0.2357
Relative absolute error 13.5294 %
Root relative squared error 45.098 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-virginica
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 9
Correctly Classified Instances 12 80 %
Incorrectly Classified Instances 3 20 %
Kappa statistic 0
Mean absolute error 0.1259
Root mean squared error 0.3239
Relative absolute error 25.5556 %
Root relative squared error 61.9813 %
Total Number of Instances 15
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]'
| petallength = '(-inf-2.45]': null
| petallength = '(2.45-4.75]'
| | sepallength = '(-inf-5.55]'
| | | sepalwidth = '(-inf-2.95]': Iris-versicolor
| | | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | | sepalwidth = '(3.35-inf)': null
| | sepallength = '(5.55-6.15]': Iris-versicolor
| | sepallength = '(6.15-inf)': Iris-versicolor
| petallength = '(4.75-inf)'
| | sepallength = '(-inf-5.55]': null
| | sepallength = '(5.55-6.15]': Iris-virginica
| | sepallength = '(6.15-inf)': Iris-versicolor
petalwidth = '(1.75-inf)'
| sepallength = '(-inf-5.55]': null
| sepallength = '(5.55-6.15]'
| | sepalwidth = '(-inf-2.95]': Iris-virginica
| | sepalwidth = '(2.95-3.35]': Iris-versicolor
| | sepalwidth = '(3.35-inf)': null
| sepallength = '(6.15-inf)': Iris-virginica
Validation 10
Correctly Classified Instances 13 86.6667 %
Incorrectly Classified Instances 2 13.3333 %
Kappa statistic 0
Mean absolute error 0.0444
Root mean squared error 0.1491
Relative absolute error 9.0196 %
Root relative squared error 28.5225 %
Total Number of Instances 15
Validation 1
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Validation 2
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Validation 3
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 15
Validation 4
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0093
Root mean squared error 0.0139
Relative absolute error 2.0105 %
Root relative squared error 2.8398 %
Total Number of Instances 15
Validation 5
Correctly Classified Instances 14 93.3333 %
Incorrectly Classified Instances 1 6.6667 %
Kappa statistic 0
Mean absolute error 0.0564
Root mean squared error 0.2069
Relative absolute error 11.4542 %
Root relative squared error 39.5851 %
Total Number of Instances 15
Validation 6
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0417
Root mean squared error 0.1006
Relative absolute error 8.4559 %
Root relative squared error 19.2549 %
Total Number of Instances 15
Validation 7
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0141
Root mean squared error 0.0173
Relative absolute error 3.0594 %
Root relative squared error 3.5291 %
Total Number of Instances 15
Validation 8
Correctly Classified Instances 14 93.3333 %
Incorrectly Classified Instances 1 6.6667 %
Kappa statistic 0
Mean absolute error 0.0561
Root mean squared error 0.2071
Relative absolute error 11.3807 %
Root relative squared error 39.6229 %
Total Number of Instances 15
Validation 9
Correctly Classified Instances 14 93.3333 %
Incorrectly Classified Instances 1 6.6667 %
Kappa statistic 0
Mean absolute error 0.0412
Root mean squared error 0.1414
Relative absolute error 8.366 %
Root relative squared error 27.0623 %
Total Number of Instances 15
Validation 10
Correctly Classified Instances 15 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.0145
Root mean squared error 0.0177
Relative absolute error 2.9412 %
Root relative squared error 3.3962 %
Total Number of Instances 15
***DATASET 2***
Validation 1
Correctly Classified Instances 3 60 %
Incorrectly Classified Instances 2 40 %
Kappa statistic 0
Mean absolute error 0.2514
Root mean squared error 0.3926
Relative absolute error 76.4479 %
Root relative squared error 95.5284 %
Total Number of Instances 5
Validation 2
Correctly Classified Instances 3 60 %
Incorrectly Classified Instances 2 40 %
Kappa statistic 0
Mean absolute error 0.3111
Root mean squared error 0.3944
Relative absolute error 89.7436 %
Root relative squared error 97.7008 %
Total Number of Instances 5
Validation 3
Correctly Classified Instances 3 75 %
Incorrectly Classified Instances 1 25 %
Kappa statistic 0
Mean absolute error 0.281
Root mean squared error 0.3563
Relative absolute error 90.3061 %
Root relative squared error 96.5062 %
Total Number of Instances 4
Test Number
3
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity <= 75: yes (2.0)
| humidity > 75: no (3.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
***DATASET 3***
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]': Iris-setosa
petalwidth = '(1.75-inf)': null
Correctly Classified Instances 0 0 %
Incorrectly Classified Instances 2 100 %
Kappa statistic 0
Mean absolute error 0.4857
Root mean squared error 0.6041
Relative absolute error 99.3506 %
Root relative squared error 105.3322 %
Total Number of Instances 2
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]': Iris-setosa
petalwidth = '(1.75-inf)': null
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0.2222
Root mean squared error 0.2722
Relative absolute error 71.4286 %
Root relative squared error 76.2493 %
Total Number of Instances 2
Id3
petalwidth = '(-inf-0.8]': Iris-setosa
petalwidth = '(0.8-1.75]': Iris-setosa
petalwidth = '(1.75-inf)': null
Correctly Classified Instances 1 50 %
Incorrectly Classified Instances 1 50 %
Kappa statistic 0
Mean absolute error 0.2952
Root mean squared error 0.3837
Relative absolute error 83.0357 %
Root relative squared error 90.2489 %
Total Number of Instances 2
Test Number
3
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 2 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 2
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree
------------------
outlook = sunny
| humidity = high: no (3.0)
| humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
| windy = TRUE: no (2.0)
| windy = FALSE: yes (3.0)
Number of Leaves : 5
Size of the tree : 8
Correctly Classified Instances 1 100 %
Incorrectly Classified Instances 0 0 %
Kappa statistic 1
Mean absolute error 0
Root mean squared error 0
Relative absolute error 0 %
Root relative squared error 0 %
Total Number of Instances 1
J48 pruned tree