Run
512982

Run 512982

Task 3785 (Supervised Classification) fri_c2_100_50 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
0.8272
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8303
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
64.688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.17
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8307
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.83
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.83
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3488
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8354
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
4.158
UserCPU time millis testing
0.506
UserCPU time millis training
3.652