Run
514661

Run 514661

Task 9989 (Supervised Classification) energy-efficiency Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(4)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(4)_nrounds1
classif.xgboost(4)_seed1
classif.xgboost(4)_kindMersenne-Twister
classif.xgboost(4)_normal.kindInversion

Result files

Description

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

Predictions

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

20 Evaluation measures

Area under ROC curve
0.7063
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4107
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
301.3989
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0301
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0515
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4427
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7233
Cross-validation details (10-fold Crossvalidation)
Recall
0.4427
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5852
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1604
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1736
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0824
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
578.04
UserCPU time millis testing
0.521
UserCPU time millis training
577.519