This lists all test data.
You can manage this data through Data acquisition.
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
| Sample name | Expected outcome | Length | Anomaly | Accuracy | Result | |
|---|---|---|---|---|---|---|
| scaled_test_df.s37 | serv | 40s | -0.37 | 100% | 1 serv | |
| scaled_test_df.s36 | serv | 1m 50s | -0.25 | 100% | 9 serv | |
| scaled_test_df.s35 | serv | 1m 50s | -0.17 | 100% | 9 serv | |
| scaled_test_df.s34 | serv | 1m 50s | 0.30 | 44% | 5 anomaly, 4 serv | |
| scaled_test_df.s33 | serv | 1m 50s | 0.45 | 0% | 9 anomaly | |
| scaled_test_df.s32 | serv | 1m 50s | 0.47 | 0% | 9 anomaly | |
| scaled_test_df.s31 | serv | 1m 50s | 0.31 | 0% | 9 anomaly | |
| scaled_test_df.s30 | serv | 1m 50s | 0.22 | 100% | 9 serv | |
| scaled_test_df.s29 | serv | 1m 50s | -0.06 | 100% | 9 serv | |
| scaled_test_df.s28 | serv | 1m 50s | 0.07 | 67% | 6 serv, 2 anomaly, 1 lab | |
| scaled_test_df.s27 | lab | 1m 50s | 0.14 | 100% | 9 lab | |
| scaled_test_df.s26 | lab | 1m 50s | 0.10 | 100% | 9 lab | |
| scaled_test_df.s25 | lab | 1m 50s | 0.18 | 100% | 9 lab | |
| scaled_test_df.s24 | lab | 1m 50s | 0.22 | 100% | 9 lab | |
| scaled_test_df.s23 | lab | 1m 50s | 0.08 | 100% | 9 lab | |
| scaled_test_df.s22 | lab | 1m 50s | -0.05 | 100% | 9 lab | |
| scaled_test_df.s21 | lab | 1m 50s | -0.10 | 100% | 9 lab | |
| scaled_test_df.s20 | lab | 1m 50s | -0.15 | 100% | 9 lab | |
| scaled_test_df.s19 | lab | 1m 50s | 0.00 | 78% | 7 lab, 1 uncertain, anomaly | |
| scaled_test_df.s18 | bath | 1m 50s | 0.14 | 100% | 9 bath | |
| scaled_test_df.s17 | bath | 1m 50s | 0.14 | 100% | 9 bath | |
| scaled_test_df.s16 | bath | 1m 50s | 0.15 | 100% | 9 bath | |
| scaled_test_df.s15 | bath | 1m 50s | 0.08 | 100% | 9 bath | |
| scaled_test_df.s14 | bath | 1m 50s | 0.09 | 100% | 9 bath | |
| scaled_test_df.s13 | bath | 1m 50s | 0.01 | 100% | 9 bath | |
| scaled_test_df.s12 | bath | 1m 50s | -0.02 | 100% | 9 bath | |
| scaled_test_df.s11 | bath | 1m 50s | -0.09 | 100% | 9 bath | |
| scaled_test_df.s10 | bath | 1m 50s | -0.06 | 100% | 9 bath | |
| scaled_test_df.s9 | kit | 1m 50s | -0.04 | 100% | 9 kit | |
| scaled_test_df.s8 | kit | 1m 50s | -0.00 | 100% | 9 kit | |
| scaled_test_df.s7 | kit | 1m 50s | -0.04 | 100% | 9 kit | |
| scaled_test_df.s6 | kit | 1m 50s | -0.08 | 100% | 9 kit | |
| scaled_test_df.s5 | kit | 1m 50s | -0.10 | 100% | 9 kit | |
| scaled_test_df.s4 | kit | 1m 50s | -0.14 | 100% | 9 kit | |
| scaled_test_df.s3 | kit | 1m 50s | -0.12 | 100% | 9 kit | |
| scaled_test_df.s2 | kit | 1m 50s | -0.14 | 100% | 9 kit | |
| scaled_test_df.s1 | kit | 1m 50s | -0.12 | 100% | 9 kit |
