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Acousticguitar_Acousticguitar_controls_sc_audio.txt
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Acousticguitar_Acousticguitar_controls_sc_audio.txt
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SUMMARY OF MODEL SELECTION
WINNING MODEL:
knn: 0.7682539682539683 (+/- 0.08786255557522568)
MODEL FILE NAME:
Acousticguitar_Acousticguitar_controls_sc_audio.pickle
DATE CREATED:
2018-09-04 15:02:22.244930
EXECUTION TIME:
2.3901641368865967
GROUPS:
['Acousticguitar', 'Acousticguitar_controls']
(58 in each class, 33% used for testing)
TRAINING SUMMARY:
train labels
['Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls']
test labels
['Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar', 'Acousticguitar', 'Acousticguitar_controls', 'Acousticguitar_controls']
FEATURES:
audio features (mfcc coefficients).
MODELS, ACCURACIES, AND STANDARD DEVIATIONS:
svm: 0 (+/- 0)
sk: 0.5650793650793651 (+/- 0.007776157913597362)
decision-tree: 0.6095238095238094 (+/- 0.10168645954315535)
gaussian-nb: 0.6317460317460317 (+/- 0.12188161155842837)
adaboost: 0.653968253968254 (+/- 0.19911621308656152)
logistic regression: 0.6888888888888889 (+/- 0.06853026395213621)
gradient boosting: 0.7047619047619047 (+/- 0.15211617207251987)
hard voting: 0.7047619047619047 (+/- 0.15211617207251987)
random forest: 0.711111111111111 (+/- 0.07539264817166932)
knn: 0.7682539682539683 (+/- 0.08786255557522568)
(C) 2018, NeuroLex Laboratories