Run
8871839

Run 8871839

Task 3683 (Supervised Classification) diggle_table_a2 Uploaded 03-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-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
0.9926
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9839
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9676
Cross-validation details (10-fold Crossvalidation)
KB relative information score
297.0366
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.022
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4979
Cross-validation details (10-fold Crossvalidation)
Number of instances
310
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9839
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9839
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.997
Cross-validation details (10-fold Crossvalidation)
Recall
0.9839
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0441
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2242
Cross-validation details (10-fold Crossvalidation)