Run
522688

Run 522688

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 09-02-2016 by Rafael Gomes Mantovani
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Flow

classif.ranger(5)Learner classif.ranger from package(s) ranger.
classif.ranger(5)_num.threads1
classif.ranger(5)_verboseFALSE
classif.ranger(5)_seed1
classif.ranger(5)_kindMersenne-Twister
classif.ranger(5)_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
0.6215
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5682
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2435
Cross-validation details (10-fold Crossvalidation)
KB relative information score
681.7205
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2717
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5924
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5924
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5213
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1969
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
41.079
UserCPU time millis testing
1.291
UserCPU time millis training
39.788