| lookback_168h_mvlr_logit | 1m | 0.5232 | 0.5233 | 0.0354 | 1273 | 0.4878 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 2m | 0.5460 | 0.5454 | 0.0629 | 1273 | 0.4831 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 3m | 0.5318 | 0.5326 | 0.0369 | 1273 | 0.5051 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 4m | 0.5137 | 0.5131 | 0.0172 | 1273 | 0.4965 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 5m | 0.5020 | 0.5026 | 0.0063 | 1273 | 0.4957 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 10m | 0.5629 | 0.5602 | 0.0472 | 1272 | 0.5157 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 15m | 0.5429 | 0.5460 | 0.0283 | 1271 | 0.5146 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 30m | 0.5311 | 0.5037 | -0.0087 | 1269 | 0.5398 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 1h | 0.5752 | 0.5726 | 0.0594 | 1264 | 0.5158 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 2h | 0.4980 | 0.5088 | -0.0136 | 1255 | 0.5116 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 4h | 0.4632 | 0.4748 | -0.0639 | 1237 | 0.5271 | multi-variable logistic regression (lookback=168h, rows=8486) |
| lookback_168h_mvlr_logit | 8h | 0.5595 | 0.5002 | 0.0 | 1201 | 0.5595 | multi-variable logistic regression (lookback=168h, rows=8486) |