DEVELOPMENT... OpenML
Run
24007

Run 24007

Task 22 (Supervised Classification) mfeat-zernike Uploaded 29-06-2014 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)_I40
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
0.9698
Per class
F measure
0.7774
Per class
Kappa
0.7506
KB relative information score
1572.8598
Mean absolute error
0.0494
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7803
Per class
Predictive accuracy
0.7755
Prior entropy
3.3219
Recall
0.7755
Per class
Relative absolute error
0.2746
Root mean prior squared error
0.3
Root mean squared error
0.1789
Root relative squared error
0.5963
SciMark benchmark
896.9013[536.1944754842275962.0344422444904458.4721693006554861.74883377185781666.0564794052927]