=== Run information ===
Scheme: weka.classifiers.trees.J48 -C 0.25 -M 10
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-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-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.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-R1,3-15,17-18,21-23,26,28,31,33-34,36-37,40-46
Instances: 952
Attributes: 14
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
exercise_rate
bdi
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
J48 pruned tree
------------------
eat_work_worry_bed <= 1
| epworth_score <= 27: 0_1_2_3_4_5_6_7_8_9 (361.08/112.23)
| epworth_score > 27
| | paralysis <= 0
| | | unable_move <= 1
| | | | gender = m
| | | | | if_eat_less = u
| | | | | | leg_crawly <= 1: 0_1_2_3_4_5_6_7_8_9 (39.44/14.12)
| | | | | | leg_crawly > 1: 10_11_12_13_14_15_16 (15.17/8.17)
| | | | | if_eat_less = y: 10_11_12_13_14_15_16 (24.54/11.0)
| | | | | if_eat_less = n: 0_1_2_3_4_5_6_7_8_9 (10.0/4.0)
| | | | gender = f
| | | | | if_eat_less = u
| | | | | | exercise_rate <= 2: 10_11_12_13_14_15_16 (23.77/13.0)
| | | | | | exercise_rate > 2: 0_1_2_3_4_5_6_7_8_9 (10.0/3.0)
| | | | | if_eat_less = y: 10_11_12_13_14_15_16 (29.62/17.62)
| | | | | if_eat_less = n: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (6.0/1.0)
| | | unable_move > 1: 10_11_12_13_14_15_16 (14.05/4.05)
| | paralysis > 0
| | | wa_confused <= 2
| | | | eat_work_worry_bed <= 0: 0_1_2_3_4_5_6_7_8_9 (19.54/10.48)
| | | | eat_work_worry_bed > 0: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (22.12/10.29)
| | | wa_confused > 2: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (10.24/2.03)
eat_work_worry_bed > 1
| paralysis <= 1
| | leg_crawly <= 0
| | | wa_confused <= 0
| | | | exercise_rate <= 1
| | | | | gender = m: 0_1_2_3_4_5_6_7_8_9 (52.64/25.13)
| | | | | gender = f: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (39.61/21.26)
| | | | exercise_rate > 1: 0_1_2_3_4_5_6_7_8_9 (30.97/12.46)
| | | wa_confused > 0
| | | | exercise_rate <= 0
| | | | | unable_move <= 0
| | | | | | wake_am_headache <= 1: 10_11_12_13_14_15_16 (24.02/10.15)
| | | | | | wake_am_headache > 1: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (11.03/5.02)
| | | | | unable_move > 0: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (11.06/3.02)
| | | | exercise_rate > 0: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (15.39/8.13)
| | leg_crawly > 0: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (132.47/65.2)
| paralysis > 1: 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52 (46.26/10.4)
Number of Leaves : 22
Size of the tree : 41
Time taken to build model: 0.7 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 473 49.8419 %
Incorrectly Classified Instances 476 50.1581 %
Kappa statistic 0.2014
Mean absolute error 0.3822
Root mean squared error 0.4571
Relative absolute error 88.7161 %
Root relative squared error 98.4858 %
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
0.731 0.42 0.588 0.731 0.651 0.7 0_1_2_3_4_5_6_7_8_9
0.152 0.166 0.266 0.152 0.194 0.488 10_11_12_13_14_15_16
0.474 0.207 0.455 0.474 0.464 0.722 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
=== Confusion Matrix ===
a b c <-- classified as
312 52 63 | a = 0_1_2_3_4_5_6_7_8_9
147 41 81 | b = 10_11_12_13_14_15_16
72 61 120 | c = 17_18_19_20_21_22_23_24_25_26_27_28_29_30_31_32_33_34_35_36_37_38_39_40_43_44_45_46_47_48_49_52
|
