Run
22879

Run 22879

Task 51 (Supervised Classification) trains Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I20
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.42
Per class
F measure
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.2964
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4454
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8908
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6353
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2706
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
927.0521[544.5646589471471982.3885176288675469.9088768785109882.34265860232461756.0556588021248]