Run
1852619

Run 1852619

Task 145677 (Supervised Classification) Bioresponse Uploaded 15-03-2017 by János Szedelényi
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  • NumPy_1.12.0. Python_3.5.2. run_task SciPy_0.18.1. Sklearn_0.18.1. Wed_Mar_15_17.26.39_2017 xgboost.sklearn.XGBClassifier
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Flow

xgboost.sklearn.XGBClassifier(3)Automatically created sub-component.
xgboost.sklearn.XGBClassifier(3)_base_score0.5
xgboost.sklearn.XGBClassifier(3)_colsample_bylevel1
xgboost.sklearn.XGBClassifier(3)_colsample_bytree1
xgboost.sklearn.XGBClassifier(3)_gamma0
xgboost.sklearn.XGBClassifier(3)_learning_rate0.1
xgboost.sklearn.XGBClassifier(3)_max_delta_step0
xgboost.sklearn.XGBClassifier(3)_max_depth9
xgboost.sklearn.XGBClassifier(3)_min_child_weight1
xgboost.sklearn.XGBClassifier(3)_missingNone
xgboost.sklearn.XGBClassifier(3)_n_estimators256
xgboost.sklearn.XGBClassifier(3)_nthread-1
xgboost.sklearn.XGBClassifier(3)_objectivebinary:logistic
xgboost.sklearn.XGBClassifier(3)_reg_alpha0
xgboost.sklearn.XGBClassifier(3)_reg_lambda1
xgboost.sklearn.XGBClassifier(3)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(3)_seed0
xgboost.sklearn.XGBClassifier(3)_silentTrue
xgboost.sklearn.XGBClassifier(3)_subsample1

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
0.8793
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8077
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6121
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2121.3844
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2203
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
0.8079
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8081
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8081
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4437
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
0.7862
Cross-validation details (10-fold Crossvalidation)