Run
4387653

Run 4387653

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 06-07-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot10 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.svm(6)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(6)_cost659.998151548236
mlr.classif.svm(6)_gamma48.3629615945432
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
0.5665
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5522
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0385
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.2018
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4369
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7134
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6711
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.6711
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9769
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4672
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.988
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1312.4502
UserCPU time millis
9.775
UserCPU time millis testing
0.178
UserCPU time millis training
9.597