Run
1852538

Run 1852538

Task 145677 (Supervised Classification) Bioresponse Uploaded 14-03-2017 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. Tue_Mar_14_22.03.53_2017 xgboost.sklearn.XGBClassifier
Issue #Downvotes for this reason By


Flow

xgboost.sklearn.XGBClassifier(4)Automatically created scikit-learn flow.
xgboost.sklearn.XGBClassifier(4)_base_score0.5
xgboost.sklearn.XGBClassifier(4)_colsample_bylevel0.9
xgboost.sklearn.XGBClassifier(4)_colsample_bytree1
xgboost.sklearn.XGBClassifier(4)_gamma0
xgboost.sklearn.XGBClassifier(4)_learning_rate0.03
xgboost.sklearn.XGBClassifier(4)_max_delta_step0
xgboost.sklearn.XGBClassifier(4)_max_depth8
xgboost.sklearn.XGBClassifier(4)_min_child_weight2
xgboost.sklearn.XGBClassifier(4)_missingNone
xgboost.sklearn.XGBClassifier(4)_n_estimators1024
xgboost.sklearn.XGBClassifier(4)_nthread1
xgboost.sklearn.XGBClassifier(4)_objectivebinary:logistic
xgboost.sklearn.XGBClassifier(4)_reg_alpha0
xgboost.sklearn.XGBClassifier(4)_reg_lambda1
xgboost.sklearn.XGBClassifier(4)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(4)_seed0
xgboost.sklearn.XGBClassifier(4)_silentTrue
xgboost.sklearn.XGBClassifier(4)_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
0.8796
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7986
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5939
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2085.0738
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2257
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
0.7987
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4546
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3877
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7781
Cross-validation details (10-fold Crossvalidation)