Run
8312561

Run 8312561

Task 3896 (Supervised Classification) ada_agnostic Uploaded 29-10-2017 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
0.8534
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8082
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4677
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1445.4707
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2429
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.817
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.817
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6508
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8236
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1708.1054
UserCPU time millis
3.019
UserCPU time millis testing
2.817
UserCPU time millis training
0.202