Run
17228

Run 17228

Task 22 (Supervised Classification) mfeat-zernike Uploaded 07-06-2014 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
0.7994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6419
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5989
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1244.9631
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0722
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.645
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.639
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.639
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2687
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8957
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.35[561.57136831653141015.7907504114269484.7593072718849912.12245438067161642.5063598846793]