OpenML
2325108

Run 2325108

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)_cost0.682101550370732
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
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9871
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8863
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11347.887
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0201
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
0.987
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9873
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9873
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1738
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1014
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4221
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1749.1026
UserCPU time millis
4657.774
UserCPU time millis testing
13.64
UserCPU time millis training
4644.134