DEVELOPMENT... OpenML
Run
145436

Run 145436

Task 3646 (Supervised Classification) rabe_265 Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(2)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(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6365
Per class
F measure
0.6439
Per class
Kappa
0.2609
KB relative information score
12.6865
Mean absolute error
0.3616
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6428
Per class
Predictive accuracy
0.6471
Prior entropy
0.9791
Recall
0.6471
Per class
Relative absolute error
0.7455
Root mean prior squared error
0.4922
Root mean squared error
0.5644
Root relative squared error
1.1467
SciMark benchmark
868.2731
UserCPU time millis
20
UserCPU time millis training
20

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