OpenML
2362852

Run 2362852

Task 145878 (Supervised Classification) wdbc Uploaded 30-05-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.00584657999112349
mlr.classif.svm(7)_kernellinear
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
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9547
Cross-validation details (10-fold Crossvalidation)
KB relative information score
511.9207
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0515
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
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9789
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1102
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1467
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3035
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1733.2349
UserCPU time millis
0.682
UserCPU time millis testing
0.04
UserCPU time millis training
0.642