Run
8520468

Run 8520468

Task 145848 (Supervised Classification) ilpd Uploaded 10-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
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
0.6837
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6696
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.9675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3568
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6671
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6724
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.6724
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4551
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0066
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1767.9327
UserCPU time millis
0.192
UserCPU time millis testing
0.187
UserCPU time millis training
0.005