Run
10587908

Run 10587908

Task 7306 (Supervised Classification) iris Uploaded 21-07-2022 by Sebastian Fischer
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Flow

mlr3.classif.rpart(6)Learner classif.rpart from package(s) mlr3, rpart.
mlr3.classif.rpart(6)_xval[0]
mlr3.classif.rpart(6)_unused1[["function (object, ...) ","UseMethod(\"na.omit\")"],["a"],[1]]
mlr3.classif.rpart(6)_unused2["function (x) ","print(\"hallo\")"]

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.

18 Evaluation measures

Area under ROC curve
0.955 ± 0.0369
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
1.1 ± 0.8614
Cross-validation details (10-fold Crossvalidation)
F measure
0.94 ± 0.0502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.91 ± 0.0738
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9179 ± 0.0673
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04 ± 0.0328
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.94 ± 0.0492
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9401 ± 0.043
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.94 ± 0.0492
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.09 ± 0.0738
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2 ± 0.1191
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4243 ± 0.2526
Cross-validation details (10-fold Crossvalidation)
Total cost
165 ± 12.9207
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.94 ± 0.0492
Cross-validation details (10-fold Crossvalidation)