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- Fitting 3 folds for each of 60 candidates, totalling 180 fits
- [CV] max_depth=1, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=1, n_estimators=50, score=0.7477603583426652, total= 11.1s
- [CV] max_depth=1, min_child_weight=1, n_estimators=50 ................
- [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 11.4s remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=50, score=0.74772504549909, total= 11.3s
- [CV] max_depth=1, min_child_weight=1, n_estimators=50 ................
- [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 23.1s remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=50, score=0.7477773888694436, total= 11.2s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100 ...............
- [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 34.8s remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100, score=0.7477603583426652, total= 21.4s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100 ...............
- [Parallel(n_jobs=1)]: Done 4 out of 4 | elapsed: 56.8s remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100, score=0.74772504549909, total= 21.3s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100 ...............
- [Parallel(n_jobs=1)]: Done 5 out of 5 | elapsed: 1.3min remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200 ...............
- [Parallel(n_jobs=1)]: Done 6 out of 6 | elapsed: 1.7min remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200, score=0.7477603583426652, total= 41.3s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200 ...............
- [Parallel(n_jobs=1)]: Done 7 out of 7 | elapsed: 2.4min remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200, score=0.74772504549909, total= 41.1s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200 ...............
- [Parallel(n_jobs=1)]: Done 8 out of 8 | elapsed: 3.1min remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=200, score=0.7477773888694436, total= 41.1s
- [CV] max_depth=1, min_child_weight=1, n_estimators=500 ...............
- [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 3.7min remaining: 0.0s
- [CV] max_depth=1, min_child_weight=1, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=1, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=1, n_estimators=500, score=0.74772504549909, total= 1.8min
- [CV] max_depth=1, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=1, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=1, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=1, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=3, n_estimators=50, score=0.7477603583426652, total= 11.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=3, n_estimators=50, score=0.74772504549909, total= 11.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=3, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=1, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=100, score=0.7477603583426652, total= 21.4s
- [CV] max_depth=1, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=200, score=0.7477603583426652, total= 41.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=200, score=0.74772504549909, total= 41.2s
- [CV] max_depth=1, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=200, score=0.7477773888694436, total= 41.0s
- [CV] max_depth=1, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=1, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=1, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=3, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=3, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=1, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=5, n_estimators=50, score=0.7477603583426652, total= 11.0s
- [CV] max_depth=1, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=5, n_estimators=50, score=0.74772504549909, total= 11.0s
- [CV] max_depth=1, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=1, min_child_weight=5, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=1, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=100, score=0.7477603583426652, total= 20.9s
- [CV] max_depth=1, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=1, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=1, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=200, score=0.7477603583426652, total= 41.4s
- [CV] max_depth=1, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=200, score=0.74772504549909, total= 41.0s
- [CV] max_depth=1, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=200, score=0.7477773888694436, total= 41.3s
- [CV] max_depth=1, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=1, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=1, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=1, min_child_weight=5, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=1, min_child_weight=5, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=3, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=1, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=3, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=1, n_estimators=50, score=0.74772504549909, total= 11.1s
- [CV] max_depth=3, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=1, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=3, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=100, score=0.7477603583426652, total= 21.2s
- [CV] max_depth=3, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=3, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=100, score=0.7477773888694436, total= 20.9s
- [CV] max_depth=3, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=200, score=0.7477603583426652, total= 41.0s
- [CV] max_depth=3, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=200, score=0.74772504549909, total= 41.2s
- [CV] max_depth=3, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=200, score=0.7477773888694436, total= 41.4s
- [CV] max_depth=3, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=3, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=3, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=1, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=1, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=3, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=3, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=3, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=3, n_estimators=50, score=0.74772504549909, total= 11.0s
- [CV] max_depth=3, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=3, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=3, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=100, score=0.7477603583426652, total= 20.9s
- [CV] max_depth=3, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=3, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=3, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=200, score=0.7477603583426652, total= 41.2s
- [CV] max_depth=3, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=200, score=0.74772504549909, total= 41.2s
- [CV] max_depth=3, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=200, score=0.7477773888694436, total= 41.2s
- [CV] max_depth=3, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=3, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=3, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=3, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=3, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=3, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=5, n_estimators=50, score=0.7477603583426652, total= 11.0s
- [CV] max_depth=3, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=5, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=3, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=3, min_child_weight=5, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=3, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=100, score=0.7477603583426652, total= 21.2s
- [CV] max_depth=3, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=3, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=3, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=200, score=0.7477603583426652, total= 41.1s
- [CV] max_depth=3, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=200, score=0.74772504549909, total= 41.3s
- [CV] max_depth=3, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=200, score=0.7477773888694436, total= 41.0s
- [CV] max_depth=3, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=3, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=3, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=3, min_child_weight=5, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=3, min_child_weight=5, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=5, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=1, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=5, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=1, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=5, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=1, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=5, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=100, score=0.7477603583426652, total= 21.0s
- [CV] max_depth=5, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=100, score=0.74772504549909, total= 21.1s
- [CV] max_depth=5, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=5, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=200, score=0.7477603583426652, total= 41.3s
- [CV] max_depth=5, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=200, score=0.74772504549909, total= 41.1s
- [CV] max_depth=5, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=200, score=0.7477773888694436, total= 41.1s
- [CV] max_depth=5, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=5, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=5, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=1, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=1, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=5, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=3, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=5, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=3, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=5, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=3, n_estimators=50, score=0.7477773888694436, total= 11.0s
- [CV] max_depth=5, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=100, score=0.7477603583426652, total= 21.3s
- [CV] max_depth=5, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=100, score=0.74772504549909, total= 20.9s
- [CV] max_depth=5, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=100, score=0.7477773888694436, total= 20.9s
- [CV] max_depth=5, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=200, score=0.7477603583426652, total= 41.1s
- [CV] max_depth=5, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=200, score=0.74772504549909, total= 41.4s
- [CV] max_depth=5, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=200, score=0.7477773888694436, total= 41.1s
- [CV] max_depth=5, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=5, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=5, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=3, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=3, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=5, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=5, n_estimators=50, score=0.7477603583426652, total= 11.0s
- [CV] max_depth=5, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=5, n_estimators=50, score=0.74772504549909, total= 11.0s
- [CV] max_depth=5, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=5, min_child_weight=5, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=5, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=100, score=0.7477603583426652, total= 21.0s
- [CV] max_depth=5, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=5, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=100, score=0.7477773888694436, total= 21.8s
- [CV] max_depth=5, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=200, score=0.7477603583426652, total= 41.2s
- [CV] max_depth=5, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=200, score=0.74772504549909, total= 41.6s
- [CV] max_depth=5, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=200, score=0.7477773888694436, total= 41.2s
- [CV] max_depth=5, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=5, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=5, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=5, min_child_weight=5, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=5, min_child_weight=5, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=8, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=1, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=8, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=1, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=8, min_child_weight=1, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=1, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=8, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=100, score=0.7477603583426652, total= 21.2s
- [CV] max_depth=8, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=8, min_child_weight=1, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=100, score=0.7477773888694436, total= 20.9s
- [CV] max_depth=8, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=200, score=0.7477603583426652, total= 41.0s
- [CV] max_depth=8, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=200, score=0.74772504549909, total= 41.4s
- [CV] max_depth=8, min_child_weight=1, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=200, score=0.7477773888694436, total= 41.0s
- [CV] max_depth=8, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=8, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=8, min_child_weight=1, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=1, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=1, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=8, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=3, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=8, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=3, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=8, min_child_weight=3, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=3, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=8, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=100, score=0.7477603583426652, total= 20.9s
- [CV] max_depth=8, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=100, score=0.74772504549909, total= 21.0s
- [CV] max_depth=8, min_child_weight=3, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=100, score=0.7477773888694436, total= 20.9s
- [CV] max_depth=8, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=200, score=0.7477603583426652, total= 41.3s
- [CV] max_depth=8, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=200, score=0.74772504549909, total= 41.1s
- [CV] max_depth=8, min_child_weight=3, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=200, score=0.7477773888694436, total= 41.2s
- [CV] max_depth=8, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=8, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=8, min_child_weight=3, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=3, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=3, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [CV] max_depth=8, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=5, n_estimators=50, score=0.7477603583426652, total= 10.9s
- [CV] max_depth=8, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=5, n_estimators=50, score=0.74772504549909, total= 10.9s
- [CV] max_depth=8, min_child_weight=5, n_estimators=50 ................
- [CV] max_depth=8, min_child_weight=5, n_estimators=50, score=0.7477773888694436, total= 10.9s
- [CV] max_depth=8, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=100, score=0.7477603583426652, total= 20.9s
- [CV] max_depth=8, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=100, score=0.74772504549909, total= 21.4s
- [CV] max_depth=8, min_child_weight=5, n_estimators=100 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=100, score=0.7477773888694436, total= 21.0s
- [CV] max_depth=8, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=200, score=0.7477603583426652, total= 41.2s
- [CV] max_depth=8, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=200, score=0.74772504549909, total= 41.3s
- [CV] max_depth=8, min_child_weight=5, n_estimators=200 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=200, score=0.7477773888694436, total= 41.0s
- [CV] max_depth=8, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=500, score=0.7477603583426652, total= 1.7min
- [CV] max_depth=8, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=500, score=0.74772504549909, total= 1.7min
- [CV] max_depth=8, min_child_weight=5, n_estimators=500 ...............
- [CV] max_depth=8, min_child_weight=5, n_estimators=500, score=0.7477773888694436, total= 1.7min
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000, score=0.7477603583426652, total= 3.4min
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000, score=0.74772504549909, total= 3.4min
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000 ..............
- [CV] max_depth=8, min_child_weight=5, n_estimators=1000, score=0.7477773888694436, total= 3.4min
- [Parallel(n_jobs=1)]: Done 180 out of 180 | elapsed: 227.8min finished
- Grid best score (f1): 0.7477542636024276
- Grid best parameter (max. f1): {'max_depth': 1, 'min_child_weight': 1, 'n_estimators': 50}
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