DEVELOPMENT... OpenML
Run
145265

Run 145265

Task 23 (Supervised Classification) cmc 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
0.6869
Per class
F measure
0.4921
Per class
Kappa
0.2118
KB relative information score
393.1654
Mean absolute error
0.3434
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4906
Per class
Predictive accuracy
0.4949
Prior entropy
1.5392
Recall
0.4949
Per class
Relative absolute error
0.797
Root mean prior squared error
0.4641
Root mean squared error
0.4835
Root relative squared error
1.0417
SciMark benchmark
902.4773
UserCPU time millis
7270
UserCPU time millis testing
10
UserCPU time millis training
7260