Run
576418

Run 576418

Task 9903 (Supervised Classification) autoUniv-au7-500 Uploaded 01-06-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.kknn.preproc.preproc(1)Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
mlr.classif.kknn.preproc.preproc(1)_k10
mlr.classif.kknn.preproc.preproc(1)_openml.seed1
mlr.classif.kknn.preproc.preproc(1)_openml.kindMersenne-Twister
mlr.classif.kknn.preproc.preproc(1)_openml.normal.kindInversion

Result files

rds
BenchmarkResult

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.6533
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1937
Cross-validation details (10-fold Crossvalidation)
KB relative information score
101.2291
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2681
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3859
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.416
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.416
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8949
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.388
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0028
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.348
UserCPU time millis testing
0.132
UserCPU time millis training
0.216