Run
2306633

Run 2306633

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)_k9
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
0.8326
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7643
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5246
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1616.1822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2911
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
0.7645
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7649
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7649
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5864
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8246
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1812.207
UserCPU time millis
84.953
UserCPU time millis testing
84.362
UserCPU time millis training
0.591