OpenML
8285329

Run 8285329

Task 145834 (Supervised Classification) banknote-authentication Uploaded 28-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k29
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
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9956
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1344.8087
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0114
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9978
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0231
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0592
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1191
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1367.5178
UserCPU time millis
0.293
UserCPU time millis testing
0.287
UserCPU time millis training
0.006