Run
21852

Run 21852

Task 30 (Supervised Classification) page-blocks Uploaded 20-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I20
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.8887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9076
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4531
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2312.1008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0433
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9257
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.928
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.928
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5687
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1468
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7536
Cross-validation details (10-fold Crossvalidation)