OpenML
555404

Run 555404

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Duy Pham
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  • NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. Sklearn_0.17.1. Thu_Apr_14_19.37.01_2016 xgboost.sklearn.XGBClassifier
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Flow

xgboost.sklearn.XGBClassifier(1)Flow generated by run_task
xgboost.sklearn.XGBClassifier(1)_reg_alpha0
xgboost.sklearn.XGBClassifier(1)_colsample_bytree1
xgboost.sklearn.XGBClassifier(1)_silentTrue
xgboost.sklearn.XGBClassifier(1)_colsample_bylevel1
xgboost.sklearn.XGBClassifier(1)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(1)_learning_rate0.105855855856
xgboost.sklearn.XGBClassifier(1)_missingNone
xgboost.sklearn.XGBClassifier(1)_max_delta_step0
xgboost.sklearn.XGBClassifier(1)_nthread-1
xgboost.sklearn.XGBClassifier(1)_base_score0.5
xgboost.sklearn.XGBClassifier(1)_n_estimators600
xgboost.sklearn.XGBClassifier(1)_subsample1
xgboost.sklearn.XGBClassifier(1)_reg_lambda1
xgboost.sklearn.XGBClassifier(1)_seed0
xgboost.sklearn.XGBClassifier(1)_min_child_weight1
xgboost.sklearn.XGBClassifier(1)_objectivebinary:logistic
xgboost.sklearn.XGBClassifier(1)_max_depth16956
xgboost.sklearn.XGBClassifier(1)_gamma0

Result files

Description

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

Predictions

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

17 Evaluation measures

Area under ROC curve
0.9914
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9551
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9092
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13236.7521
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0607
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9552
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1227
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1846
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3711
Cross-validation details (10-fold Crossvalidation)