Run
10587683

Run 10587683

Task 14 (Supervised Classification) mfeat-fourier Uploaded 14-01-2022 by Oleksandr Zadorozhnyi
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.randomForest(52)Learner mlr.classif.randomForest from package(s) randomForest.
mlr.classif.randomForest(52)_openml.seed1
mlr.classif.randomForest(52)_openml.kindMersenne-Twister
mlr.classif.randomForest(52)_openml.normal.kindInversion
mlr.classif.randomForest(52)_openml.sample.kindRejection

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
0.9069 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8317 ± 0.0247
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8139 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8248 ± 0.0253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0335 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8325 ± 0.0242
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8321 ± 0.0247
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8325 ± 0.0242
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1861 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.183 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6101 ± 0.0447
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
42.32
UserCPU time millis testing
0.56
UserCPU time millis training
41.76
Unweighted recall
0.8325 ± 0.0242
Cross-validation details (10-fold Crossvalidation)