Run
508300

Run 508300

Task 3742 (Supervised Classification) fri_c4_100_10 Uploaded 27-01-2016 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
0.7579
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7596
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5171
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.7495
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.24
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7598
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.76
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.76
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4817
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9816
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
7.711
UserCPU time millis testing
0.188
UserCPU time millis training
7.523