DEVELOPMENT... OpenML
Run
20795

Run 20795

Task 14 (Supervised Classification) mfeat-fourier Uploaded 18-06-2014 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)_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
0.9748
Per class
F measure
0.8195
Per class
Kappa
0.7983
KB relative information score
1646.5288
Mean absolute error
0.0393
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
0.8213
Per class
Predictive accuracy
0.8185
Prior entropy
3.3219
Recall
0.8185
Per class
Relative absolute error
0.2183
Root mean prior squared error
0.3
Root mean squared error
0.1719
Root relative squared error
0.5732
SciMark benchmark
939.6875[565.76084051053911009.4054313942349453.82157758439913.39376464446721756.0557934247322]