DEVELOPMENT... OpenML
Run
22174

Run 22174

Task 9 (Supervised Classification) autos Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I80
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

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
0.9206
Per class
F measure
0.8486
Per class
Kappa
0.8026
KB relative information score
163.9649
Mean absolute error
0.0434
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8507
Per class
Predictive accuracy
0.8488
Prior entropy
2.3268
Recall
0.8488
Per class
Relative absolute error
0.1965
Root mean prior squared error
0.3318
Root mean squared error
0.206
Root relative squared error
0.6208
SciMark benchmark
940.5597[562.11430287262971010.1992026725918476.16042993692383897.13896700946071757.1857345400422]

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