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sklearn SVM Classification

Accelerometer

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Data (223 samples)

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updown.4.12bgmkj7

ID: 846186800

Label: updown

Sample length: 5s

wave.35c12acr.ingestion-54bfbb9588-hrb9k

ID: 846186771

Label: wave

Sample length: 3s

wave.wave2.rsi2lsv

ID: 846186763

Label: wave

Sample length: 10s

wave.wave6.rsi2n10

ID: 846186757

Label: wave

Sample length: 10s

wave.testing.7.10nh1pea

ID: 846186767

Label: wave

Sample length: 10s

wave.testing.2.10ngstc6

ID: 846186768

Label: wave

Sample length: 10s

wave.0.10nfvjhg

ID: 846186780

Label: wave

Sample length: 10s

unlabeled.updown.21fsa7pt.ingestion-6695d5b6d8-bx4mv

ID: 846186859

Label: -

Sample length: 3s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

100.0%

On-device performance (Cortex-M7 216MHz, Unoptimized (float32))

Latency

6 ms.

Peak RAM usage

5.5K

Flash usage

39.4K

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Dataset summary

Data collected

23m 21s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

drink, fistbump, idle, snake, updown, wave

Project info

Project ID	357674
Project version	2
License	BSD 3-Clause Clear
No. of views	36,075
No. of clones	22