Run
16467

Run 16467

Task 27 (Supervised Classification) colic Uploaded 04-06-2014 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)_I80
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
0.8257
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5839
Cross-validation details (10-fold Crossvalidation)
KB relative information score
193.7793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.22
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
0.8064
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4719
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8491
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.7107[554.4312430895411013.9200573100866483.449727694041902.38899339674911754.3634695038145]