Run
509973

Run 509973

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.694
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.388
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38.2808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6118
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5477
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1063
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.661
UserCPU time millis testing
0.071
UserCPU time millis training
0.59