OpenML
2362839

Run 2362839

Task 145878 (Supervised Classification) wdbc Uploaded 30-05-2017 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)_cost120.954339011361
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree4
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
0.8684
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7287
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
162.3374
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3498
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7888
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7575
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.7575
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.748
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4075
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8428
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1752.9026
UserCPU time millis
1.258
UserCPU time millis testing
0.04
UserCPU time millis training
1.218