=== Run information ===
Scheme: weka.classifiers.functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0
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
Instances: 952
Attributes: 47
age
gender
height
weight
bmi
collarsize
fa_reading
fa_watching_tv
fa_theater_meeting
fa_passenger
fa_pm_rest
fa_after_lunch
fa_as_driver
fa_talking
sleep_problem_family
tired
fa_meeting_watching_tv
fa_routine_tasks
eat_work_worry_bed
wake_am_headache
wa_gasp
snore_loud
stop_breath
leg_uneasy
leg_crawly
limbs_twitch
paralysis
act_out_dreams
unable_move
vivid_dream_nightmares
walk_talk_sleep
wa_confused
grind_teeth
recall_dream
epworth_score
ess1
ess2
if_eat_less
exercise_rate
caffeinated_day
glasses_wine
bottles_beer
shots_hard_liquor
smoke
quit_yrs
heart_disease
bdi
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
SimpleLogistic:
Class 0 :
2.31 +
[gender] * -0.14 +
[fa_watching_tv] * 0.08 +
[fa_theater_meeting] * 0.18 +
[tired] * -0.08 +
[fa_routine_tasks] * 0.15 +
[eat_work_worry_bed] * -0.24 +
[wake_am_headache] * -0.04 +
[leg_uneasy] * -0.03 +
[leg_crawly] * -0.19 +
[paralysis] * -0.21 +
[unable_move] * -0.13 +
[walk_talk_sleep] * 0.1 +
[wa_confused] * -0.16 +
[grind_teeth] * -0.05 +
[recall_dream] * 0.07 +
[epworth_score] * -0.05 +
[ess2] * -0.01 +
[if_eat_less=u] * 0.24 +
[exercise_rate] * 0.1 +
[bottles_beer] * -0.01 +
[heart_disease=N/A] * 0.09
Class 1 :
-1.67 +
[age] * 0 +
[gender] * 0.13 +
[height] * 0.02 +
[collarsize] * 0.02 +
[fa_pm_rest] * -0.12 +
[fa_after_lunch] * -0.03 +
[sleep_problem_family] * -0.08 +
[tired] * 0.18 +
[fa_meeting_watching_tv] * 0.05 +
[snore_loud] * -0.1 +
[stop_breath] * 0.02 +
[leg_crawly] * -0.05 +
[limbs_twitch] * -0.03 +
[paralysis] * -0.33 +
[act_out_dreams] * 0.04 +
[wa_confused] * -0.04 +
[if_eat_less=y] * 0.27 +
[if_eat_less=n] * -0.15 +
[glasses_wine] * -0.02 +
[heart_disease=yes] * 0.09
Class 2 :
-0.99 +
[gender] * 0.47 +
[collarsize] * -0.02 +
[fa_watching_tv] * -0.08 +
[fa_after_lunch] * 0.11 +
[fa_as_driver] * -0.19 +
[tired] * 0.18 +
[eat_work_worry_bed] * 0.35 +
[wa_gasp] * 0.04 +
[leg_uneasy] * 0.05 +
[limbs_twitch] * -0.08 +
[paralysis] * 0.1 +
[vivid_dream_nightmares] * 0.06 +
[wa_confused] * 0.26 +
[recall_dream] * -0.1 +
[glasses_wine] * -0.02 +
[bottles_beer] * 0.01 +
[shots_hard_liquor] * 0.02 +
[smoke] * 0.11 +
[quit_yrs] * -0.01 +
[heart_disease=N/A] * -0.24
Class 3 :
-4.45 +
[eat_work_worry_bed] * 0.44 +
[wake_am_headache] * 0.17 +
[snore_loud] * 0.2 +
[stop_breath] * -0.22 +
[leg_uneasy] * 0.24 +
[limbs_twitch] * 0.14 +
[paralysis] * 0.1 +
[act_out_dreams] * -0.27 +
[vivid_dream_nightmares] * 0.4 +
[wa_confused] * 0.58 +
[grind_teeth] * 0.06 +
[if_eat_less=n] * 0.21 +
[exercise_rate] * -0.04 +
[caffeinated_day] * 0.05 +
[glasses_wine] * 0.03 +
[shots_hard_liquor] * -0.04 +
[smoke] * 0.23 +
[quit_yrs] * -0.01 +
[heart_disease=yes] * -0.34
Time taken to build model: 155.24 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 471 49.6312 %
Incorrectly Classified Instances 478 50.3688 %
Kappa statistic 0.2071
Mean absolute error 0.2946
Root mean squared error 0.3905
Relative absolute error 87.8869 %
Root relative squared error 95.418 %
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
0.792 0.462 0.584 0.792 0.672 0.744 0_1_2_3_4_5_6_7_8_9
0.212 0.159 0.345 0.212 0.263 0.558 10_11_12_13_14_15_16
0.337 0.148 0.376 0.337 0.355 0.717 17_18_19_20_21_22_23_24_25_26_27_28_29
0.167 0.02 0.333 0.167 0.222 0.829 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
338 52 31 6 | a = 0_1_2_3_4_5_6_7_8_9
155 57 55 2 | b = 10_11_12_13_14_15_16
77 45 67 10 | c = 17_18_19_20_21_22_23_24_25_26_27_28_29
9 11 25 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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