Run
20915

Run 20915

Task 27 (Supervised Classification) colic Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_JRip(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(1)_I40
weka.AdaBoostM1_JRip(1)_P100
weka.AdaBoostM1_JRip(1)_S1
weka.AdaBoostM1_JRip(1)_Wweka.classifiers.rules.JRip
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

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
0.8664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8212
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6174
Cross-validation details (10-fold Crossvalidation)
KB relative information score
220.237
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1825
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
0.8219
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8207
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8207
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3915
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.675[569.08339557480821015.5230404536866484.54051677983614913.07564286738091761.152276377127]