rbothof / MAFAD Classifier Public
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
random.MAFAD000721 noise 3s 100% 11 noise
random.MAFAD000715 noise 3s 100% 11 noise
random.MAFAD000719 noise 3s 100% 11 noise
random.MAFAD000705 noise 3s 91% 10 noise, 1 uncertain
random.MAFAD000693 noise 3s 90% 9 noise, 1 i_love_cake
random.MAFAD000675 noise 3s 64% 7 noise, 4 hello_there
random.MAFAD000671 noise 3s 100% 11 noise
random.MAFAD000659 noise 3s 90% 9 noise, 1 uncertain
noise.MAFAD000727 noise 3s 100% 11 noise
noise.MAFAD000717 noise 3s 100% 11 noise
noise.MAFAD000705 noise 3s 100% 11 noise
noise.MAFAD000697 noise 3s 100% 11 noise
noise.MAFAD000683 noise 3s 100% 11 noise
noise.MAFAD000677 noise 3s 100% 11 noise
noise.MAFAD000669 noise 3s 100% 11 noise
noise.MAFAD000659 noise 3s 100% 11 noise
i_love_cake.MAFAD000725 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000718 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000717 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000714 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000705 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000699 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000698 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000694 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000686 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000687 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000677 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000674 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000668 i_love_cake 2s 100% 7 i_love_cake
i_love_cake.MAFAD000667 i_love_cake 2s 100% 6 i_love_cake
i_love_cake.MAFAD000653 i_love_cake 2s 100% 6 i_love_cake
hello_there.MAFAD000726 hello_there 2s 80% 4 hello_there, 1 uncertain
hello_there.MAFAD000716 hello_there 2s 100% 5 hello_there
hello_there.MAFAD000710 hello_there 2s 100% 5 hello_there
hello_there.MAFAD000706 hello_there 2s 60% 3 hello_there, 1 get_bonus, 1 uncertain
hello_there.MAFAD000700 hello_there 2s 40% 2 hello_there, 2 uncertain, 1 get_bonus
hello_there.MAFAD000686 hello_there 2s 40% 2 hello_there, 2 uncertain, 1 get_bonus
hello_there.MAFAD000670 hello_there 2s 100% 5 hello_there
hello_there.MAFAD000660 hello_there 2s 80% 4 hello_there, 1 uncertain
hello_there.MAFAD000654 hello_there 2s 60% 3 hello_there, 2 uncertain
get_bonus.MAFAD000721 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000722 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000717 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000719 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000706 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000696 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000691 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000685 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000687 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000680 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000675 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000670 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000653 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000668 get_bonus 2s 100% 7 get_bonus
get_bonus.MAFAD000652 get_bonus 2s 100% 7 get_bonus
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Area under ROC Curve 1.00
Weighted average Precision 0.96
Weighted average Recall 0.96
Weighted average F1 score 0.96
Loading...
Loading...