Run
23350

Run 23350

Task 27 (Supervised Classification) colic Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(1)_I40
weka.AdaBoostM1_LWL_DecisionStump(1)_P100
weka.AdaBoostM1_LWL_DecisionStump(1)_S1
weka.AdaBoostM1_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.869
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8292
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6343
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.948
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1694
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
0.8297
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3633
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3903
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8085
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
917.641[554.960410480052996.0997823204989458.66799968249853882.93698576772021695.5397105603838]