sdajani / facettd Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse. Maximum absolute regression error is 6.5, set thresholds.

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Sample name Expected outcome Accuracy Result Error
46 46 0% 21.5 24.50 (53.3%)
0 0 0% 18.09 18.09
52 52 0% 28.42 23.58 (45.3%)
1 1 0% 31.39 30.39 (3038.6%)
51 51 0% 22.05 28.95 (56.8%)
3 3 0% 19.85 16.85 (561.7%)
53 53 0% 14.32 38.68 (73.0%)
47 47 0% 20.73 26.27 (55.9%)
44 44 0% 17.81 26.19 (59.5%)
2 2 0% 27.64 25.64 (1282.1%)
45 45 0% 27.68 17.32 (38.5%)
40 40 0% 19.65 20.35 (50.9%)
50 50 0% 15.43 34.57 (69.1%)
43 43 0% 15.31 27.69 (64.4%)
6 6 100% 11.61 5.61 (93.5%)
54 54 0% 26.16 27.84 (51.6%)
41 41 0% 24.53 16.47 (40.2%)
5 5 0% 18.15 13.15 (262.9%)
7 7 0% 15.84 8.84 (126.3%)
55 55 0% 28.03 26.97 (49.0%)
4 4 0% 19.85 15.85 (396.2%)
56 56 0% 29.01 26.99 (48.2%)
42 42 0% 27.55 14.45 (34.4%)
57 57 0% 25.04 31.96 (56.1%)
25 25 100% 27.55 2.55 (10.2%)
31 31 100% 28.55 2.45 (7.9%)
19 19 100% 23.11 4.11 (21.6%)
30 30 0% 17.81 12.19 (40.6%)
24 24 100% 28.8 4.80 (20.0%)
26 26 0% 10.33 15.67 (60.3%)
18 18 100% 23.11 5.11 (28.4%)
32 32 0% 19.41 12.59 (39.3%)
27 27 100% 24.91 2.09 (7.8%)
33 33 0% 10.34 22.66 (68.7%)
23 23 100% 22.25 0.75 (3.3%)
37 37 0% 25.26 11.74 (31.7%)
22 22 100% 16.74 5.26 (23.9%)
20 20 100% 15.31 4.69 (23.4%)
36 36 0% 18.69 17.31 (48.1%)
34 34 100% 27.85 6.15 (18.1%)
35 35 0% 18.69 16.31 (46.6%)
38 38 0% 16.67 21.33 (56.1%)
21 21 100% 21.16 0.16 (0.7%)
10 10 100% 15.53 5.53 (55.3%)
11 11 0% 22.63 11.63 (105.8%)
15 15 100% 19.75 4.75 (31.7%)
64 64 0% 20.41 43.59 (68.1%)
14 14 0% 23.26 9.26 (66.1%)
28 28 100% 23.18 4.82 (17.2%)
16 16 100% 18.51 2.51 (15.7%)
13 13 0% 24.58 11.58 (89.0%)
29 29 0% 22.46 6.54 (22.6%)
9 9 100% 7.41 1.59 (17.7%)
58 58 0% 14.82 43.18 (74.5%)
39 39 0% 23 16.00 (41.0%)
12 12 0% 19.85 7.85 (65.4%)
17 17 100% 16.53 0.47 (2.8%)
60 60 0% 15.77 44.23 (73.7%)
63 63 0% 23.73 39.27 (62.3%)
8 8 0% 20.26 12.26 (153.2%)
59 59 0% 29.31 29.69 (50.3%)
49 49 0% 15.97 33.03 (67.4%)
48 48 0% 14.38 33.62 (70.0%)
62 62 0% 27.89 34.11 (55.0%)
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Model testing output

Results

Model version:
Mean squared error 451.20
Mean absolute error 17.35
Explained variance score 0.01
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