Run
20574

Run 20574

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I160
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8915
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8406
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6775
Cross-validation details (10-fold Crossvalidation)
KB relative information score
456.2458
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1682
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8407
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8406
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8406
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3405
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3722
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7489
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.1305[558.69335417099721014.1867954103211482.36378704342826896.52530019499931758.8835103978397]