Run
23548

Run 23548

Task 27 (Supervised Classification) colic Uploaded 26-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I40
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(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
0.8323
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7815
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5354
Cross-validation details (10-fold Crossvalidation)
KB relative information score
191.2869
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2168
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
0.7845
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.7799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.465
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.449
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9301
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
886.4913[533.24382809070461014.7209476623404458.6680463954333862.31580029432141563.5079546575598]