Run
21350

Run 21350

Task 51 (Supervised Classification) trains Uploaded 19-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I20
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
Per class
F measure
Per class
Kappa
-1
KB relative information score
-3.0005
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6235
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
Per class
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
Per class
Relative absolute error
1.2471
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6321
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2642
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.1163[567.9715789913208963.9595062760718440.05811427035763912.43991219425081761.152276377127]