EIDSP / IMU Exercise 20% Train Set with Augmentation Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set thresholds
Model variants
No additional model variants available Test 'Unoptimized (float32)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Apply filters

Sample name Expected outcome Length Accuracy Result
2cd71a848f4092ac 43 30s 57% 4 43, 1 23, 1 41, 1 71
Show classification Show in data acquisition Show in feature explorer
953b5686bc79d974 42 30s 100% 7 42
Show classification Show in data acquisition Show in feature explorer
91928da6ea4be77e 23 30s 86% 6 23, 1 8
Show classification Show in data acquisition Show in feature explorer
baf400a246f98ba1 23 30s 86% 6 23, 1 8
Show classification Show in data acquisition Show in feature explorer
d1cbeb2e15633249 42 30s 86% 6 42, 1 71
Show classification Show in data acquisition Show in feature explorer
8b4dd5b91c9681f0 8 30s 29% 5 23, 2 8
Show classification Show in data acquisition Show in feature explorer
f65701b6b33ddb47 13 23s 100% 5 13
Show classification Show in data acquisition Show in feature explorer
8cd55fc0dd521896 43 30s 57% 4 43, 1 13, 1 23, 1 50
Show classification Show in data acquisition Show in feature explorer
dc8f2fbb42433fa6 42 30s 100% 7 42
Show classification Show in data acquisition Show in feature explorer
e9940ac281332e24 39 30s 100% 7 39
Show classification Show in data acquisition Show in feature explorer
df4e366c6aa15a1b 71 30s 100% 7 71
Show classification Show in data acquisition Show in feature explorer
70c575a321a200bc 50 30s 57% 4 50, 3 23
Show classification Show in data acquisition Show in feature explorer
7c4289c43bcfaa14 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
1b782bb74ba85c46 23 30s 86% 6 23, 1 8
Show classification Show in data acquisition Show in feature explorer
36cb395316e4b3f4 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
4b3ca91b27d6d7f6 8 30s 29% 4 42, 2 8, 1 23
Show classification Show in data acquisition Show in feature explorer
a85c7731288274e6 39 22s 60% 3 39, 2 13
Show classification Show in data acquisition Show in feature explorer
c27acfae07759a75 50 30s 43% 4 42, 3 50
Show classification Show in data acquisition Show in feature explorer
86c16f795c39ce09 71 30s 100% 7 71
Show classification Show in data acquisition Show in feature explorer
a7a3f3a8659bed32 8 30s 57% 4 8, 3 23
Show classification Show in data acquisition Show in feature explorer
f4a05081cead1e93 13 30s 29% 3 8, 2 13, 2 39
Show classification Show in data acquisition Show in feature explorer
ccc97e4074ed118b 8 30s 100% 7 8
Show classification Show in data acquisition Show in feature explorer
6524bb0b5355c307 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
280773c77dae99ba 71 30s 86% 6 71, 1 42
Show classification Show in data acquisition Show in feature explorer
50063f9c9d82666f 50 30s 0% 7 23
Show classification Show in data acquisition Show in feature explorer
8f5c3b6c6168284e 39 22s 100% 5 39
Show classification Show in data acquisition Show in feature explorer
9e2ae2edd99ecaa9 8 30s 86% 6 8, 1 71
Show classification Show in data acquisition Show in feature explorer
512c3ff576998219 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
dfdca76f4dd3d4fb 23 30s 86% 6 23, 1 8
Show classification Show in data acquisition Show in feature explorer
aa66e356f3589387 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
d3598b3a175863d 23 30s 86% 6 23, 1 43
Show classification Show in data acquisition Show in feature explorer
c052d5d1b403e94a 41 30s 43% 4 42, 3 41
Show classification Show in data acquisition Show in feature explorer
ba9f8f8ac5cc659b 8 30s 86% 6 8, 1 42
Show classification Show in data acquisition Show in feature explorer
36d639868b89d8e 13 30s 43% 4 39, 3 13
Show classification Show in data acquisition Show in feature explorer
34787e577b238e0 50 30s 14% 6 23, 1 50
Show classification Show in data acquisition Show in feature explorer
a82e447e7893ea04 39 29s 33% 4 13, 2 39
Show classification Show in data acquisition Show in feature explorer
80b4e9b25691a221 71 30s 86% 6 71, 1 42
Show classification Show in data acquisition Show in feature explorer
fdc0a317690fd92f 13 30s 86% 6 13, 1 39
Show classification Show in data acquisition Show in feature explorer
968ff9ae4e9c08f3 8 30s 57% 4 8, 2 23, 1 39
Show classification Show in data acquisition Show in feature explorer
ca6c9fb32ce7131d 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
d12a8464f0ede29b 23 30s 86% 6 23, 1 50
Show classification Show in data acquisition Show in feature explorer
7487a5fa9b9fde42 13 17s 67% 2 13, 1 39
Show classification Show in data acquisition Show in feature explorer
e9fee9395d6c24f4 13 16s 100% 3 13
Show classification Show in data acquisition Show in feature explorer
fead8f5fe5fae421 8 30s 100% 7 8
Show classification Show in data acquisition Show in feature explorer
cbfe029022a0bc 13 17s 67% 2 13, 1 39
Show classification Show in data acquisition Show in feature explorer
b9c36324a53eb9c0 8 30s 71% 5 8, 1 23, 1 43
Show classification Show in data acquisition Show in feature explorer
844457a4f17c6ffd 42 30s 100% 7 42
Show classification Show in data acquisition Show in feature explorer
fe3a7f6fd5c7af9f 43 30s 57% 4 43, 3 23
Show classification Show in data acquisition Show in feature explorer
6b115ed56ecb18d1 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
e352005e73240ab0 8 30s 86% 6 8, 1 39
Show classification Show in data acquisition Show in feature explorer
9a28fc411046c472 43 30s 0% 6 23, 1 71
Show classification Show in data acquisition Show in feature explorer
2f536f2f745b22af 43 30s 0% 6 23, 1 71
Show classification Show in data acquisition Show in feature explorer
30ced24dcc443bfc 42 30s 86% 6 42, 1 71
Show classification Show in data acquisition Show in feature explorer
aace1733d2e5a585 50 30s 0% 6 23, 1 43
Show classification Show in data acquisition Show in feature explorer
8ea2ab70ef4f7225 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
c23aa46bee6cdad0 23 30s 86% 6 23, 1 8
Show classification Show in data acquisition Show in feature explorer
aa0b6bb2edf7e4ab 71 30s 100% 7 71
Show classification Show in data acquisition Show in feature explorer
70a1a919a1ebe764 39 30s 83% 5 39, 1 13
Show classification Show in data acquisition Show in feature explorer
b7983cbe86e9053c 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
296768c44f5ce885 8 30s 100% 7 8
Show classification Show in data acquisition Show in feature explorer
d5c7c331ed61586e 8 30s 57% 4 8, 2 13, 1 42
Show classification Show in data acquisition Show in feature explorer
ed13c0f534114a01 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
d6a38504ef054a22 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
80be47c6263c8ea3 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
daa5bf5c4b0691ac 41 30s 57% 4 41, 3 71
Show classification Show in data acquisition Show in feature explorer
d77354ec8d03fcbf 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
a14361603261f63f 23 30s 86% 6 23, 1 43
Show classification Show in data acquisition Show in feature explorer
283d8784bc73d65c 13 25s 100% 5 13
Show classification Show in data acquisition Show in feature explorer
9378e5b719865086 8 30s 43% 3 8, 3 39, 1 71
Show classification Show in data acquisition Show in feature explorer
a2d0e87571227562 42 30s 43% 4 8, 3 42
Show classification Show in data acquisition Show in feature explorer
a32bed0b2243ef68 43 30s 14% 5 23, 1 43, 1 71
Show classification Show in data acquisition Show in feature explorer
e04449f0eb2a098b 39 21s 100% 4 39
Show classification Show in data acquisition Show in feature explorer
a1e69135f4f6c3ed 50 30s 0% 7 42
Show classification Show in data acquisition Show in feature explorer
a6d55aa557b67049 71 30s 100% 7 71
Show classification Show in data acquisition Show in feature explorer
6a56e0aca913063e 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
330395b31940899d 43 30s 71% 5 43, 1 23, 1 39
Show classification Show in data acquisition Show in feature explorer
a844be1a607fa170 13 28s 100% 6 13
Show classification Show in data acquisition Show in feature explorer
81e380062a367b2a 42 30s 57% 4 42, 2 8, 1 23
Show classification Show in data acquisition Show in feature explorer
bd9f031802764b4c 23 30s 100% 7 23
Show classification Show in data acquisition Show in feature explorer
d5c83585c5e71639 8 30s 100% 7 8
Show classification Show in data acquisition Show in feature explorer
edff491f59d417d6 8 30s 43% 4 42, 3 8
Show classification Show in data acquisition Show in feature explorer
4c580657bd2027e2 13 30s 100% 7 13
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Accuracy
74.09%

Metrics for Classifier

Metric Value
Area under ROC Curve 0.96
Weighted average Precision 0.77
Weighted average Recall 0.74
Weighted average F1 score 0.72

Confusion matrix

Loading...

Feature explorer

Loading...
Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy