Run
8861430

Run 8861430

Task 3730 (Supervised Classification) fri_c2_1000_50 Uploaded 27-02-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-SMO(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-SMO.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
0.7969
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8021
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5933
Cross-validation details (10-fold Crossvalidation)
KB relative information score
588.1712
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.198
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4866
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8021
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.802
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9806
Cross-validation details (10-fold Crossvalidation)
Recall
0.802
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4069
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4932
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.445
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9022
Cross-validation details (10-fold Crossvalidation)