DEVELOPMENT... OpenML
Run
22636

Run 22636

Task 2074 (Supervised Classification) satimage 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)_I80
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
0.9813
Per class
F measure
0.9159
Per class
Kappa
0.8976
KB relative information score
5789.369
Mean absolute error
0.0278
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9157
Per class
Predictive accuracy
0.9173
Prior entropy
2.4836
Recall
0.9173
Per class
Relative absolute error
0.1029
Root mean prior squared error
0.3675
Root mean squared error
0.1607
Root relative squared error
0.4374
SciMark benchmark
923.1157[555.8446888587833993.5317943513462473.43116282050204904.56866745157771688.2020124985384]