Run
23370

Run 23370

Task 54 (Supervised Classification) hepatitis Uploaded 24-06-2014 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)_I10
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.

19 Evaluation measures

Area under ROC curve
0.812
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8175
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4216
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.646
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1762
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.8136
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8258
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8258
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5342
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4125
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.019
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
859.2599[521.1355172945397976.6624814969632428.2975018231362821.7680103379491548.435897397765]