Run
21457

Run 21457

Task 27 (Supervised Classification) colic Uploaded 19-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I20
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.8814
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.833
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6393
Cross-validation details (10-fold Crossvalidation)
KB relative information score
232.7808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1657
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8328
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8342
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8342
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3555
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.398
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8246
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.8537[561.57136831653141001.5359160908363474.68690723372646897.75340120097631743.7207492169434]