Run
24966

Run 24966

Task 20 (Supervised Classification) mfeat-pixel Uploaded 19-07-2014 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)_I80
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
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7076
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6756
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1406.2989
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0594
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
0.7082
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.33
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2316
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7721
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
911.4989[568.71232145344071010.7290985125734472.38971539770705904.56866745157771601.0944919250705]