Edge Impulse Experts / Soccer forecast with Arduino Uno R4 Public

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Soccer forecast with Arduino Uno R4

Arduino UNO R4 Minima Machine Learning based Soccer forecast

About this project

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Data (17,396 samples)

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eiDRAW.s640

ID: 317361345

Label: LoseDraw

eiLOSE.s2316

ID: 317365164

Label: LoseDraw

eiLOSE.s1350

ID: 317366145

Label: LoseDraw

eiLOSE.s2543

ID: 317364985

Label: LoseDraw

eiLOSE.s933

ID: 317366698

Label: LoseDraw

eiWIN.s6024

ID: 317370322

Label: win

eiWIN.s3111

ID: 317373649

Label: win

eiWIN.s7603

ID: 317368810

Label: win

Model accuracy (Unoptimized (float32))

Validation set

68.8%

Test set

52.5%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

1 ms.

Peak RAM usage

1.2K

Flash usage

10.8K

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Dataset summary

Data collected

4h 49m 56s

Sensors

home_team, away_team, home_team_fifa_rank, away_team_fifa_rank, neutral_location @ 1Hz

Labels

LoseDraw, win

Project info

Project ID	233190
Project version	1
License	Apache 2.0
No. of views	291,691
No. of clones	14