DEVELOPMENT... OpenML
Run
20449

Run 20449

Task 2074 (Supervised Classification) satimage 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)_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
0.9869
Per class
F measure
0.9091
Per class
Kappa
0.8893
KB relative information score
5747.4688
Mean absolute error
0.0301
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
0.9089
Per class
Predictive accuracy
0.9106
Prior entropy
2.4836
Recall
0.9106
Per class
Relative absolute error
0.1116
Root mean prior squared error
0.3675
Root mean squared error
0.1633
Root relative squared error
0.4443
SciMark benchmark
900.0017[540.0125788545131962.0344422444904457.88563364596456864.30596986288531675.7697537253239]