Fernando / Sane.AI.Spectrogram v3 Public
Target: ECO Clone this project

Test data

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Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
VNVV6678 No_leak 5s 0% 1 uncertain (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VSVV0233 No_leak 5s 0% 1 uncertain (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
ANVHFHJ4 No_leak 5s 0% 1 Leak (Classifier), 1 uncertain (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VSVV2777 No_leak 5s 100% 1 No_leak (Classifier), 1 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
05574_20181004_1145_filted No_leak 5s 100% 1 No_leak (Classifier), 1 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
05574_20181103_1145_filted No_leak 5s 100% 1 No_leak (Classifier), 1 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
05574_20180613_1145_filted No_leak 5s 100% 1 No_leak (Classifier), 1 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
12846-20200902-1145_filted No_leak 10s 100% 11 No_leak (Classifier), 11 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
05540_20200810_1145_filted No_leak 10s 100% 11 No_leak (Classifier), 11 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VSVV2888 No_leak 5s 0% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VSVV2555 No_leak 5s 0% 1 uncertain (Classifier), 1 No_leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVVVTUHO Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVVVUH82 Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVVILHID Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVVISI2D Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVVTUD67 Leak 5s 0% 1 Leak (Classifier), 1 uncertain (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VV34567V Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVV4585R Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVV24666 Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VV26007V Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
VVISIV30 Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
AVVRYY34 Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
A9VAVVVG Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
AVV52434 Leak 5s 100% 1 Leak (Classifier), 1 Leak (Classifier via features)
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
86.36%

Metrics for Classifier

Metric Value
Area under ROC Curve 0.95
Weighted average Precision 0.94
Weighted average Recall 0.93
Weighted average F1 score 0.93

Metrics for Classifier via features

Metric Value
Area under ROC Curve 0.94
Weighted average Precision 0.93
Weighted average Recall 0.91
Weighted average F1 score 0.91

Confusion matrix

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Feature explorer

The feature explorer is only supported when you have a single DSP block
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