Run
23514

Run 23514

Task 57 (Supervised Classification) ionosphere Uploaded 25-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_OneR(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(1)_I80
weka.Bagging_OneR(1)_P100
weka.Bagging_OneR(1)_S1
weka.Bagging_OneR(1)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(1)_num-slots1
weka.OneR(1)_B6

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.

19 Evaluation measures

Area under ROC curve
0.9152
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8564
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6828
Cross-validation details (10-fold Crossvalidation)
KB relative information score
205.2653
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1969
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8625
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8604
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8604
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4277
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3252
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.678
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.2226[552.49939948384381013.1204302006943487.3998668806585907.70082742804311745.3925929109241]