DEVELOPMENT... OpenML
Run
23302

Run 23302

Task 21 (Supervised Classification) car Uploaded 24-06-2014 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)_I20
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
0.9976
Per class
F measure
0.9913
Per class
Kappa
0.981
KB relative information score
1684.2486
Mean absolute error
0.0045
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9913
Per class
Predictive accuracy
0.9913
Prior entropy
1.2099
Recall
0.9913
Per class
Relative absolute error
0.0197
Root mean prior squared error
0.3381
Root mean squared error
0.0648
Root relative squared error
0.1918
SciMark benchmark
944.0803[563.02150163949781005.1930475889384483.0147548568529910.85482906678911758.3172656914378]