Run
519882

Run 519882

Task 3662 (Supervised Classification) fri_c4_1000_50 Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(6)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(6)_nrounds1
classif.xgboost(6)_seed1
classif.xgboost(6)_kindMersenne-Twister
classif.xgboost(6)_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
0.83
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6594
Cross-validation details (10-fold Crossvalidation)
KB relative information score
656.8987
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.168
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8322
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.832
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3409
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4099
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8257
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.969
UserCPU time millis testing
0.164
UserCPU time millis training
1.805