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xgboostStatus.txt
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xgboostStatus.txt
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recall: 0.9902229174814235 precission: 0.9556520098131723 f1: 0.9726303658887929
min_child_weight: 5 max_depth:6 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators200
recall: 0.9913961673836528 precission: 0.9542631281761716 f1: 0.9724753044979381
min_child_weight: 3 max_depth:7 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9892452092295659 precission: 0.9554296506137866 f1: 0.9720434239600346
min_child_weight: 3 max_depth:7 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9880719593273367 precission: 0.9550179550179551 f1: 0.9712638154733302
min_child_weight: 3 max_depth:7 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9882675009777082 precission: 0.958649468892261 f1: 0.9732331985364915
min_child_weight: 3 max_depth:7 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9886585842784513 precission: 0.9586651497914297 f1: 0.973430881786677
min_child_weight: 3 max_depth:7 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9878764176769652 precission: 0.9573621375781695 f1: 0.9723799441824658
min_child_weight: 2.5 max_depth:8 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators165
recall: 0.9882675009777082 precission: 0.9575596816976127 f1: 0.972671285604311
min_child_weight: 5 max_depth:8 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators150
recall: 0.9878764176769652 precission: 0.9559129612109745 f1: 0.9716318876815078
min_child_weight: 5 max_depth:8 gamma: 1.5 colsample_bytree: 0.75 subsample: 0.75 n_estimators150