Run
22250

Run 22250

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I160
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.7933
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6568
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
435.3971
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1363
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.6585
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4353
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3677
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9291
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.4148[550.58101308439061012.8541257252805483.6674820550281911.17132945493631753.8001309030865]