Kutluhan Aktar / AI-assisted Pipeline Diagnostics Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set confidence thresholds
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.
Sample name Expected outcome Length Accuracy Result
data_records.s30 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s29 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s28 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s27 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s26 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s25 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s24 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s23 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s22 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s21 Clogged 1s 100% 1 Clogged
Show classification Show in data acquisition
data_records.s20 Cracked 1s 0% 1 Clogged
Show classification Show in data acquisition
data_records.s19 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s18 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s17 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s16 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s15 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s14 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s13 Cracked 1s 0% 1 Clogged
Show classification Show in data acquisition
data_records.s12 Cracked 1s 100% 1 Cracked
Show classification Show in data acquisition
data_records.s11 Cracked 1s 0% 1 Clogged
Show classification Show in data acquisition
data_records.s10 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s9 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s8 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s7 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s6 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s5 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s4 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s3 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s2 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition
data_records.s1 Leakage 1s 100% 1 Leakage
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
90.00%

Confusion matrix

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Feature explorer

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