Run
8872511

Run 8872511

Task 167132 (Supervised Classification) Speech Uploaded 08-03-2018 by Egor Lomagin
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Flow

xgboost.sklearn.XGBClassifier(6)Automatically created scikit-learn flow.
xgboost.sklearn.XGBClassifier(6)_base_score0.5
xgboost.sklearn.XGBClassifier(6)_booster"gbtree"
xgboost.sklearn.XGBClassifier(6)_colsample_bylevel1
xgboost.sklearn.XGBClassifier(6)_colsample_bytree1
xgboost.sklearn.XGBClassifier(6)_gamma0
xgboost.sklearn.XGBClassifier(6)_learning_rate0.3766666666666667
xgboost.sklearn.XGBClassifier(6)_max_delta_step0
xgboost.sklearn.XGBClassifier(6)_max_depth4
xgboost.sklearn.XGBClassifier(6)_min_child_weight1
xgboost.sklearn.XGBClassifier(6)_missingnull
xgboost.sklearn.XGBClassifier(6)_n_estimators210
xgboost.sklearn.XGBClassifier(6)_n_jobs1
xgboost.sklearn.XGBClassifier(6)_nthreadnull
xgboost.sklearn.XGBClassifier(6)_objective"binary:logistic"
xgboost.sklearn.XGBClassifier(6)_random_state0
xgboost.sklearn.XGBClassifier(6)_reg_alpha0
xgboost.sklearn.XGBClassifier(6)_reg_lambda1
xgboost.sklearn.XGBClassifier(6)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(6)_seednull
xgboost.sklearn.XGBClassifier(6)_silenttrue
xgboost.sklearn.XGBClassifier(6)_subsample1
xgboost.sklearn.XGBClassifier(6)_tree_method"hist"

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.

15 Evaluation measures

Area under ROC curve
0.7902 ± 0.1204
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
528.4736 ± 40.8736
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0173 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5287 ± 0.0265
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1274 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9985 ± 0.0129
Cross-validation details (10-fold Crossvalidation)