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params.txt
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params.txt
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LogisticRegression Type:Liblinear C:5.0 threads:1 usescale:True maxim_Iteration:200 seed:1 verbose:false
GradientBoostingForestClassifier estimators:300 shrinkage:0.1 threads:1 offset:0.00001 max_depth:3 max_features:0.4 min_leaf:2.0 min_split:5.0 Objective:RMSE row_subsample:0.7 seed:1 verbose:false
LibFmClassifier maxim_Iteration:70 C:0.0001 C2:0.0009 lfeatures:2 seed:1 usescale:True init_values:0.1 learn_rate:0.1 smooth:0.01 threads:1 verbose:false
softmaxnnclassifier usescale:True seed:1 Type:SGD maxim_Iteration:50 C:0.000001 shuffle:false tolerance:0.01 learn_rate:0.01 smooth:0.1 h1:20 h2:20 connection_nonlinearity:Relu init_values:0.02 verbose:false
RandomForestClassifier bootsrap:false estimators:100 threads:1 offset:0.00001 max_depth:6 max_features:0.4 min_leaf:2.0 min_split:5.0 Objective:ENTROPY row_subsample:0.95 seed:1 verbose:false
AdaboostRandomForestClassifier bootsrap:false weight_thresold:0.95 estimators:100 threads:1 max_depth:6 max_features:0.5 min_leaf:2.0 min_split:5.0 Objective:ENTROPY row_subsample:0.9 seed:1 verbose:false
GradientBoostingForestRegressor bootsrap:false estimators:300 shrinkage:0.1 threads:1 offset:0.00001 max_depth:3 max_features:0.4 min_leaf:2.0 min_split:5.0 Objective:RMSE row_subsample:0.9 seed:1 verbose:false
RandomForestRegressor bootsrap:false estimators:100 threads:1 offset:0.00001 max_depth:6 max_features:0.4 min_leaf:2.0 min_split:5.0 Objective:RMSE row_subsample:0.95 seed:1 verbose:false
LibFmRegressor maxim_Iteration:70 C:0.0001 C2:0.0009 lfeatures:2 seed:1 usescale:True init_values:0.1 learn_rate:0.1 threads:1 verbose:false
RandomForestClassifier bootsrap:false estimators:1000 threads:3 offset:0.00001 max_depth:5 max_features:0.3 min_leaf:1.0 min_split:5.0 Objective:ENTROPY row_subsample:0.8 seed:1 verbose:false
RandomForestClassifier bootsrap:false estimators:1000 threads:3 offset:0.00001 max_depth:5 max_features:0.3 min_leaf:1.0 min_split:5.0 Objective:ENTROPY row_subsample:0.8 seed:1 verbose:false