OpenML
524005

Run 524005

Task 9981 (Supervised Classification) cnae-9 Uploaded 12-02-2016 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
0.9542
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9186
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
987.2827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0181
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1975
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9201
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1699
Cross-validation details (10-fold Crossvalidation)
Recall
0.9185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0917
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1346
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4282
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
39.148
UserCPU time millis testing
0.645
UserCPU time millis training
38.503