Run
2012945

Run 2012945

Task 23 (Supervised Classification) cmc Uploaded 07-04-2017 by Jeroen van Hoof
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Fri_Apr__7_02.35.06_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,lgbmclassifier=lightgbm .sklearn.LGBMClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,lgbmclassifier=lightgbm.sklearn.LGBMClassifier)(1)_steps[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('lgbmclassifier', LGBMClassifier(boosting_type='dart', colsample_bytree=1, drop_rate=0.1, is_unbalance=False, learning_rate=0.075, max_bin=750, max_depth=-1, max_drop=50, min_child_samples=10, min_child_weight=5, min_split_gain=0, n_estimators=1000, nthread=-1, num_leaves=256, objective='multiclass', reg_alpha=0, reg_lambda=0, scale_pos_weight=1, seed=0, sigmoid=1.0, silent=True, skip_drop=0.5, subsample=0.9, subsample_for_bin=50000, subsample_freq=1, uniform_drop=False, xgboost_dart_mode=False))]
lightgbm.sklearn.LGBMClassifier(1)_boosting_typedart
lightgbm.sklearn.LGBMClassifier(1)_colsample_bytree1
lightgbm.sklearn.LGBMClassifier(1)_drop_rate0.1
lightgbm.sklearn.LGBMClassifier(1)_is_unbalanceFalse
lightgbm.sklearn.LGBMClassifier(1)_learning_rate0.075
lightgbm.sklearn.LGBMClassifier(1)_max_bin750
lightgbm.sklearn.LGBMClassifier(1)_max_depth-1
lightgbm.sklearn.LGBMClassifier(1)_max_drop50
lightgbm.sklearn.LGBMClassifier(1)_min_child_samples10
lightgbm.sklearn.LGBMClassifier(1)_min_child_weight5
lightgbm.sklearn.LGBMClassifier(1)_min_split_gain0
lightgbm.sklearn.LGBMClassifier(1)_n_estimators1000
lightgbm.sklearn.LGBMClassifier(1)_nthread-1
lightgbm.sklearn.LGBMClassifier(1)_num_leaves256
lightgbm.sklearn.LGBMClassifier(1)_objectivemulticlass
lightgbm.sklearn.LGBMClassifier(1)_reg_alpha0
lightgbm.sklearn.LGBMClassifier(1)_reg_lambda0
lightgbm.sklearn.LGBMClassifier(1)_scale_pos_weight1
lightgbm.sklearn.LGBMClassifier(1)_seed0
lightgbm.sklearn.LGBMClassifier(1)_sigmoid1.0
lightgbm.sklearn.LGBMClassifier(1)_silentTrue
lightgbm.sklearn.LGBMClassifier(1)_skip_drop0.5
lightgbm.sklearn.LGBMClassifier(1)_subsample0.9
lightgbm.sklearn.LGBMClassifier(1)_subsample_for_bin50000
lightgbm.sklearn.LGBMClassifier(1)_subsample_freq1
lightgbm.sklearn.LGBMClassifier(1)_uniform_dropFalse
lightgbm.sklearn.LGBMClassifier(1)_xgboost_dart_modeFalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7037
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5098
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2402
Cross-validation details (10-fold Crossvalidation)
KB relative information score
401.5531
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3405
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5089
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5112
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5112
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7903
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4628
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9971
Cross-validation details (10-fold Crossvalidation)