Run
2306597

Run 2306597

Task 145677 (Supervised Classification) Bioresponse Uploaded 22-05-2017 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)_k13
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
0.8367
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7662
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1551.4043
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.302
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7664
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8137
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.3841
UserCPU time millis
86.505
UserCPU time millis testing
85.919
UserCPU time millis training
0.586