Run
145769

Run 145769

Task 14 (Supervised Classification) mfeat-fourier Uploaded 31-01-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(2)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_BFTree(2)_I20
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

0.9669
Per class
Cross-validation details (10-fold Crossvalidation)
0.8291
Per class
Cross-validation details (10-fold Crossvalidation)
0.8083
Cross-validation details (10-fold Crossvalidation)
1649.4925
Cross-validation details (10-fold Crossvalidation)
0.0352
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
2000
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
0.8275
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.8275
Per class
Cross-validation details (10-fold Crossvalidation)
0.1957
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.1785
Cross-validation details (10-fold Crossvalidation)
0.5949
Cross-validation details (10-fold Crossvalidation)
921.2137
41620
Cross-validation details (10-fold Crossvalidation)
10
41610
Cross-validation details (10-fold Crossvalidation)