Run
15463

Run 15463

Task 2079 (Supervised Classification) eucalyptus Uploaded 04-06-2014 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)_I20
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
0.671
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4771
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3309
Cross-validation details (10-fold Crossvalidation)
KB relative information score
280.3295
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2116
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
0.4808
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.4742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6756
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1483
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.9673[563.567288607794999.45800554378440.2385268147568912.12245438067161759.4501199261804]