Run
8460959

Run 8460959

Task 31 (Supervised Classification) credit-g Uploaded 03-11-2017 by OpenML_Bot R
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Flow

mlr.classif.kknn(9)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(9)_k21
mlr.classif.kknn(9)_openml.seed1
mlr.classif.kknn(9)_openml.kindMersenne-Twister
mlr.classif.kknn(9)_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
0.7543
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7061
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2697
Cross-validation details (10-fold Crossvalidation)
KB relative information score
203.6408
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3301
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7219
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.74
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7855
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4185
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9133
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1315.534
UserCPU time millis
0.645
UserCPU time millis testing
0.636
UserCPU time millis training
0.009