DEVELOPMENT... OpenML
Run
20430

Run 20430

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)_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
0.9723
Per class
F measure
0.8286
Per class
Kappa
0.8089
KB relative information score
1664.3118
Mean absolute error
0.0355
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
0.8302
Per class
Predictive accuracy
0.828
Prior entropy
3.3219
Recall
0.828
Per class
Relative absolute error
0.1972
Root mean prior squared error
0.3
Root mean squared error
0.1714
Root relative squared error
0.5714
SciMark benchmark
935.4662[544.22486162903641015.5230404536866478.92139815906154894.38417097158211744.2776301949953]