Mithun / sony-analog-meter Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse. Maximum absolute regression error is 0.1, set thresholds.
Sample name Expected outcome Accuracy Result Error
13.112821 13 0% 18.39 5.39 (41.5%)
65.114844 65 0% 62.92 2.08 (3.2%)
13.113245 13 0% 16.69 3.69 (28.4%)
85.120914 85 0% 81.8 3.20 (3.8%)
65.115455 65 0% 62.34 2.66 (4.1%)
65.115643 65 0% 62.86 2.14 (3.3%)
37.114512 37 0% 44.29 7.29 (19.7%)
65.120014 65 0% 63.41 1.59 (2.4%)
37.114327 37 0% 43.98 6.98 (18.9%)
37.114327 copy 37 0% 43.98 6.98 (18.9%)
85.121154 85 0% 82.79 2.21 (2.6%)
37.114419 37 0% 43.51 6.51 (17.6%)
85.121008 85 0% 81.16 3.84 (4.5%)
85.131734 85 0% 79.79 5.21 (6.1%)
65.130912 65 0% 67.97 2.97 (4.6%)
37.124510 37 0% 42.04 5.04 (13.6%)
65.125904 65 0% 67.42 2.42 (3.7%)
0.123042 0 0% -2.53 2.53
100.110509 100 0% 96.55 3.45 (3.4%)
65.125959 65 0% 67.65 2.65 (4.1%)
0.122946 0 0% -1.7 1.70
65.131256 65 0% 70.95 5.95 (9.2%)
85.131446 85 0% 82.81 2.19 (2.6%)
65.130434 65 0% 67.71 2.71 (4.2%)
65.125428 65 0% 67.58 2.58 (4.0%)
37.124756 37 0% 45.34 8.34 (22.5%)
65.131102 65 0% 68.27 3.27 (5.0%)
100.110413 100 0% 96.59 3.41 (3.4%)
65.130817 65 0% 67.64 2.64 (4.1%)
0.083647 0 0% -0.69 0.69
50.085323 50 0% 53.81 3.81 (7.6%)
100.091729 100 0% 98.11 1.89 (1.9%)
25.084942 25 0% 27.09 2.09 (8.4%)
75.090141 75 0% 75.94 0.94 (1.2%)
50.085037 50 0% 54.65 4.65 (9.3%)
75.085801 75 0% 72.56 2.44 (3.3%)
100.090428 100 0% 95.52 4.48 (4.5%)
0.000018 0 0% 0.6 0.60
0.123008 0 0% 2.8 2.80
0.123752 0 0% 2.21 2.21
75.145654 75 0% 74.46 0.54 (0.7%)
25.124913 25 0% 27.56 2.56 (10.2%)
25.132952 25 0% 26.65 1.65 (6.6%)
25.134125 25 0% 27.95 2.95 (11.8%)
100.153250 100 0% 105.99 5.99 (6.0%)
100.160950 100 0% 102.57 2.57 (2.6%)
75.145231 75 0% 74.72 0.28 (0.4%)
0.123444 0 0% 2.22 2.22
50.140949 50 0% 50.8 0.80 (1.6%)
25.132523 25 0% 25.69 0.69 (2.8%)
0.123319 0 0% 1.72 1.72
100.154948 100 0% 98.45 1.55 (1.5%)
0.121305 0 0% 4.47 4.47
75.151105 75 0% 76.68 1.68 (2.2%)
75.145819 75 0% 74.09 0.91 (1.2%)
25.134001 25 0% 27.78 2.78 (11.1%)
50.135415 50 0% 54.4 4.40 (8.8%)
0.000119 0 0% 2.78 2.78
0.115729 0 0% 5.18 5.18
50.142953 50 0% 53.68 3.68 (7.4%)
75.151710 75 0% 76.45 1.45 (1.9%)
50.000041 50 0% 53.32 3.32 (6.6%)
100.160244 100 0% 101.55 1.55 (1.6%)
0.120022 0 0% 4.19 4.19
50.135954 50 0% 52.69 2.69 (5.4%)
100.154120 100 0% 99.42 0.58 (0.6%)
100.153539 100 0% 100.2 0.20 (0.2%)
0.124209 0 0% 2.62 2.62
25.130200 25 0% 23.53 1.47 (5.9%)
75.144816 75 0% 75.12 0.12 (0.2%)
75.150109 75 0% 74.43 0.57 (0.8%)
25.133537 25 0% 27.03 2.03 (8.1%)
75.144236 75 0% 72.69 2.31 (3.1%)
25.124458 25 0% 26.51 1.51 (6.1%)
25.124458 25 0% 27.34 2.34 (9.3%)
25.124458 25 0% 27.35 2.35 (9.4%)
100 100 0% 103.71 3.71 (3.7%)
100 100 0% 98.96 1.04 (1.0%)
100 100 0% 97.99 2.01 (2.0%)
100 100 0% 97.19 2.81 (2.8%)
75 75 0% 72.63 2.37 (3.2%)
75 75 0% 76.59 1.59 (2.1%)
75 75 0% 73.97 1.03 (1.4%)
75 75 0% 72.77 2.23 (3.0%)
75 75 0% 80 5.00 (6.7%)
50 50 0% 37.77 12.23 (24.5%)
50 50 0% 38.55 11.45 (22.9%)
50 50 0% 49.79 0.21 (0.4%)
50 50 0% 50.23 0.23 (0.5%)
50 50 0% 58.1 8.10 (16.2%)
50 50 0% 50.52 0.52 (1.0%)
50 50 0% 50.3 0.30 (0.6%)
25 25 0% 28.33 3.33 (13.3%)
25 25 0% 32.71 7.71 (30.8%)
25 25 0% 32.93 7.93 (31.7%)
25 25 0% 25.15 0.15 (0.6%)
25 25 0% 18.21 6.79 (27.2%)
0 0 0% 6.13 6.13
0 0 0% 6.35 6.35
0 0 0% 6.28 6.28
0 0 0% 8.79 8.79
0 0 0% 4.59 4.59
0 0 0% 4.24 4.24

Model testing output

Results

Model version:
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