Run
576511

Run 576511

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)_k5
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
0.6393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3779
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1688
Cross-validation details (10-fold Crossvalidation)
KB relative information score
110.3378
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2631
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
0.3762
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.38
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.38
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8783
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4117
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.064
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.487
UserCPU time millis testing
0.286
UserCPU time millis training
0.201