Run
1852807

Run 1852807

Task 145677 (Supervised Classification) Bioresponse Uploaded 16-03-2017 by Jeroen van Hoof
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  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. Sklearn_0.18.1. Thu_Mar_16_16.38.57_2017 __main__.AUCLGBMClassifier
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Flow

__main__.AUCLGBMClassifier(1)Automatically created scikit-learn flow.
__main__.AUCLGBMClassifier(1)_boosting_typegbdt
__main__.AUCLGBMClassifier(1)_colsample_bytree1
__main__.AUCLGBMClassifier(1)_drop_rate0.1
__main__.AUCLGBMClassifier(1)_is_unbalanceFalse
__main__.AUCLGBMClassifier(1)_learning_rate0.05
__main__.AUCLGBMClassifier(1)_max_bin255
__main__.AUCLGBMClassifier(1)_max_depth-1
__main__.AUCLGBMClassifier(1)_max_drop50
__main__.AUCLGBMClassifier(1)_min_child_samples10
__main__.AUCLGBMClassifier(1)_min_child_weight5
__main__.AUCLGBMClassifier(1)_min_split_gain0
__main__.AUCLGBMClassifier(1)_n_estimators1000
__main__.AUCLGBMClassifier(1)_nthread-1
__main__.AUCLGBMClassifier(1)_num_leaves31
__main__.AUCLGBMClassifier(1)_objectivebinary
__main__.AUCLGBMClassifier(1)_reg_alpha0
__main__.AUCLGBMClassifier(1)_reg_lambda0
__main__.AUCLGBMClassifier(1)_scale_pos_weight1
__main__.AUCLGBMClassifier(1)_seed0
__main__.AUCLGBMClassifier(1)_sigmoid1.0
__main__.AUCLGBMClassifier(1)_silentTrue
__main__.AUCLGBMClassifier(1)_skip_drop0.5
__main__.AUCLGBMClassifier(1)_subsample1
__main__.AUCLGBMClassifier(1)_subsample_for_bin50000
__main__.AUCLGBMClassifier(1)_subsample_freq1
__main__.AUCLGBMClassifier(1)_uniform_dropFalse
__main__.AUCLGBMClassifier(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
0.8789
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5924
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2096.3317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2233
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3917
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7863
Cross-validation details (10-fold Crossvalidation)