Run
145525

Run 145525

Task 3741 (Supervised Classification) fri_c2_250_50 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)_I10
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

0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
0.7994
Per class
Cross-validation details (10-fold Crossvalidation)
0.5944
Cross-validation details (10-fold Crossvalidation)
142.5505
Cross-validation details (10-fold Crossvalidation)
0.2151
Cross-validation details (10-fold Crossvalidation)
0.4954
Cross-validation details (10-fold Crossvalidation)
250
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]
0.7998
Per class
Cross-validation details (10-fold Crossvalidation)
0.8
Cross-validation details (10-fold Crossvalidation)
0.9934
Cross-validation details (10-fold Crossvalidation)
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
0.4341
Cross-validation details (10-fold Crossvalidation)
0.4977
Cross-validation details (10-fold Crossvalidation)
0.4247
Cross-validation details (10-fold Crossvalidation)
0.8533
Cross-validation details (10-fold Crossvalidation)
938.4285
630
Cross-validation details (10-fold Crossvalidation)
630
Cross-validation details (10-fold Crossvalidation)