DEVELOPMENT... OpenML
Run
22513

Run 22513

Task 47 (Supervised Classification) tae Uploaded 22-06-2014 by Felicia West
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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)_I160
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
0.7017
Per class
F measure
0.543
Per class
Kappa
0.3146
KB relative information score
36.0489
Mean absolute error
0.3731
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5432
Per class
Predictive accuracy
0.543
Prior entropy
1.5845
Recall
0.543
Per class
Relative absolute error
0.8397
Root mean prior squared error
0.4713
Root mean squared error
0.4456
Root relative squared error
0.9454
SciMark benchmark
898.9272[553.20030943105081006.7685963696512476.5831398139759908.32989414330441549.7540983832075]