OpenML
8289465

Run 8289465

Task 145878 (Supervised Classification) wdbc Uploaded 28-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k20
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
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9353
Cross-validation details (10-fold Crossvalidation)
KB relative information score
496.7969
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0653
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9708
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3404
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2117.3323
UserCPU time millis
0.24
UserCPU time millis testing
0.233
UserCPU time millis training
0.007