Run
510800

Run 510800

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.probit(3)Learner classif.probit from package(s) stats.
classif.probit(3)_seed1
classif.probit(3)_kindMersenne-Twister
classif.probit(3)_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
0.5979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.828
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
120.3135
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1538
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8189
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8462
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.625
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3922
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1201
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.27
UserCPU time millis testing
0.064
UserCPU time millis training
1.206