OpenML
2325090

Run 2325090

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 23-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.109450483331839
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree5
mlr.classif.svm(7)_openml.seed1
mlr.classif.svm(7)_openml.kindMersenne-Twister
mlr.classif.svm(7)_openml.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.

21 Evaluation measures

Area under ROC curve
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.976
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7851
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9233.7312
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0364
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9758
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9769
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9769
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3152
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1344
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5594
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1751.2527
UserCPU time millis
3948.956
UserCPU time millis testing
14.572
UserCPU time millis training
3934.384