Run
8871318

Run 8871318

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 02-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-ReliefF-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-ReliefF-Standardize-IBk5.kf

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.

17 Evaluation measures

Area under ROC curve
0.698
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7475
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3026
Cross-validation details (10-fold Crossvalidation)
KB relative information score
128.0316
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3235
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7551
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.776
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.776
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8423
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.41
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9359
Cross-validation details (10-fold Crossvalidation)