OpenML
7949936

Run 7949936

Task 59 (Supervised Classification) iris Uploaded 12-10-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.ctree(16)Learner mlr.classif.ctree from package(s) party.
mlr.classif.ctree(16)_openml.seed1
mlr.classif.ctree(16)_openml.kindMersenne-Twister
mlr.classif.ctree(16)_openml.normal.kindInversion
mlr.classif.ctree(16)_predict.typeresponse

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
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9466
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.0474
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0356
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9471
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.08
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1886
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.6
UserCPU time millis testing
0.11
UserCPU time millis training
0.49