OpenML
2325138

Run 2325138

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)_cost60.7269343482504
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
0.9964
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.989
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9042
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11887.1361
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0163
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
0.989
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1409
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0927
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3858
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1766.0227
UserCPU time millis
6062.727
UserCPU time millis testing
15.168
UserCPU time millis training
6047.559