OpenML
8290187

Run 8290187

Task 3917 (Supervised Classification) kc1 Uploaded 28-10-2017 by OpenML_Bot R
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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
0.7501
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8288
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2955
Cross-validation details (10-fold Crossvalidation)
KB relative information score
285.9508
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1816
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8218
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8445
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8445
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6941
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3435
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9503
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1767.998
UserCPU time millis
0.391
UserCPU time millis testing
0.378
UserCPU time millis training
0.013