Run
8290082

Run 8290082

Task 9910 (Supervised Classification) Bioresponse 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)_k17
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
0.8379
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7673
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5305
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1494.5617
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.311
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
0.7678
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7681
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7681
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6264
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4037
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8102
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1840.2451
UserCPU time millis
114.612
UserCPU time millis testing
113.843
UserCPU time millis training
0.769