Run
543395

Run 543395

Task 4367 (Supervised Classification) fri_c4_1000_50 Uploaded 24-03-2016 by Giuseppe Casalicchio
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Flow

classif.rpart(44)Learner classif.rpart from package(s) rpart.
classif.rpart(44)_xval0
classif.rpart(44)_seed1
classif.rpart(44)_kindMersenne-Twister
classif.rpart(44)_normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.855
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8564
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7089
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
7065.1981
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1437
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.8566
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8563
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8563
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2916
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3791
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7637
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis
4.02
UserCPU time millis testing
0.69
UserCPU time millis training
3.33