=== Run information ===
Scheme: weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 3 -N -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
Relation: outmacro.txt-weka.filters.unsupervised.attribute.Remove-R1-weka.filters.unsupervised.attribute.Remove-R2,11-19,51-52,76-78,80,82,86,89-weka.filters.unsupervised.attribute.Remove-R8-9-weka.filters.unsupervised.attribute.Remove-R1-weka.filters.unsupervised.attribute.Remove-R38-58-weka.filters.unsupervised.instance.RemoveWithValues-S17.0-Cfirst-Lfirst-last-weka.filters.unsupervised.instance.RemoveWithValues-S18.0-Cfirst-Lfirst-last-weka.filters.unsupervised.attribute.NumericToNominal-R38-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F1-S2-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F2-S3-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F3-S4-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.MergeTwoValues-C38-F4-S5-weka.filters.unsupervised.attribute.ClassAssigner-C38-weka.filters.unsupervised.attribute.ClassAssigner-C38-weka.filters.unsupervised.attribute.Reorder-R1-last,38-weka.filters.unsupervised.attribute.Remove-R38-weka.filters.unsupervised.attribute.Remove-R1,3-15,17-18,21-23,26,28,31,33-34,36-37,39-46
Instances: 952
Attributes: 13
gender
tired
eat_work_worry_bed
wake_am_headache
leg_uneasy
leg_crawly
paralysis
unable_move
vivid_dream_nightmares
wa_confused
epworth_score
if_eat_less
bdi
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Bayes Network Classifier
not using ADTree
#attributes=13 #classindex=12
Network structure (nodes followed by parents)
gender(2): bdi
tired(2): bdi
eat_work_worry_bed(2): bdi tired
wake_am_headache(2): bdi gender
leg_uneasy(2): bdi
leg_crawly(2): leg_uneasy
paralysis(2): leg_uneasy bdi
unable_move(2): paralysis leg_uneasy
vivid_dream_nightmares(2): bdi tired
wa_confused(2): bdi vivid_dream_nightmares unable_move
epworth_score(2): tired wa_confused leg_crawly
if_eat_less(3): gender
bdi(4):
LogScore Bayes: -7817.267936515302
LogScore BDeu: -7993.832200732778
LogScore MDL: -7961.515792837297
LogScore ENTROPY: -7683.871736493596
LogScore AIC: -7764.871736493596
Time taken to build model: 5.76 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 473 49.8419 %
Incorrectly Classified Instances 476 50.1581 %
Kappa statistic 0.2236
Mean absolute error 0.2909
Root mean squared error 0.394
Relative absolute error 86.7764 %
Root relative squared error 96.2596 %
Total Number of Instances 949
Ignored Class Unknown Instances 3
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.756 0.402 0.606 0.756 0.673 0.742 0_1_2_3_4_5_6_7_8_9
0.197 0.175 0.308 0.197 0.24 0.53 10_11_12_13_14_15_16
0.442 0.175 0.402 0.442 0.421 0.729 17_18_19_20_21_22_23_24_25_26_27_28_29
0.167 0.018 0.36 0.167 0.228 0.808 30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
=== Confusion Matrix ===
a b c d <-- classified as
323 61 41 2 | a = 0_1_2_3_4_5_6_7_8_9
146 53 62 8 | b = 10_11_12_13_14_15_16
58 47 88 6 | c = 17_18_19_20_21_22_23_24_25_26_27_28_29
6 11 28 9 | d = 30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
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