Run
8273572

Run 8273572

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 27-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k25
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(10)_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
0.9167
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8673
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
554.871
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2214
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
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8664
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8664
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.495
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3258
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6891
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1104.1124
UserCPU time millis
0.65
UserCPU time millis testing
0.631
UserCPU time millis training
0.019