Mathilde Bindslev / ML-mini-project Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
Metal.5d3ubmp0.s1 Metal 1s 0% 1 Cardboard
Metal.5d3u89qk.s16 Metal 1s 100% 1 Metal
Glass.5d3tpkfb.s12 Glass 1s 100% 1 Glass
Glass.5d3tqq4c.s11 Glass 1s 100% 1 Glass
Cardboard.5d3n0e8t Cardboard 1s 100% 1 Cardboard
Cardboard.5d3n432g Cardboard 1s 100% 1 Cardboard
Cardboard.5d3ndo8j Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tkn16.s10 Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tjdis.s1 Cardboard 1s 0% 1 Plastic
Metal.5ccr71tl Metal 1s 100% 1 Metal
Noise.5d40tk5v.s4 Noise 5s 100% 9 Noise
Noise.5d40tk5v.s1 Noise 5s 100% 9 Noise
Noise.5d412ku3.s4 Noise 5s 78% 7 Noise, 1 Cardboard, 1 uncertain
Noise.5d412ku3.s1 Noise 5s 89% 8 Noise, 1 uncertain
Cardboard.5d3ne92i Cardboard 1s 100% 1 Cardboard
Cardboard.5d3n770e Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tkn16.s7 Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tkn16.s13 Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tjdis.s12 Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tkn16.s18 Cardboard 1s 100% 1 Cardboard
Cardboard.5d3tkn16.s15 Cardboard 1s 100% 1 Cardboard

Model testing output

Results

Model version:
Area under ROC Curve 0.99
Weighted average Precision 0.90
Weighted average Recall 0.88
Weighted average F1 score 0.89
CardboardGlassMetalNoisePlasticuncertain
Cardboard80%0%0%0%15%5%
Glass6.1%87.9%3.0%0%0%3.0%
Metal4.2%4.2%75%0%16.7%0%
Noise2.8%0%0%91.7%0%5.6%
Plastic0%0%0%0%95.8%4.2%
f1 score0.800.920.840.960.85
Error while loading features: {"response":{"readyState":0,"status":0,"statusText":"error"},"errorThrown":""}