OpenML
6356531

Run 6356531

Task 3902 (Supervised Classification) pc4 Uploaded 29-08-2017 by OpenML_Bot R
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Flow

mlr.classif.svm(6)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(6)_cost8.72945281319504
mlr.classif.svm(6)_kernelpolynomial
mlr.classif.svm(6)_degree2
mlr.classif.svm(6)_openml.seed1
mlr.classif.svm(6)_openml.kindMersenne-Twister
mlr.classif.svm(6)_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
0.8632
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8556
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2106
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.62
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1796
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8822
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8909
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.8909
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8362
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.294
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.898
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1328.8469
UserCPU time millis
4.312
UserCPU time millis testing
0.079
UserCPU time millis training
4.233