DEVELOPMENT... OpenML
Run
107327

Run 107327

Task 3672 (Supervised Classification) kin8nm Uploaded 09-12-2014 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)_I20
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.

21 Evaluation measures

Area under ROC curve
0.9187
Per class
Build CPU time
47.4646
Build memory
1416963095.0967
F measure
0.8477
Per class
Kappa
0.6953
KB relative information score
5663.2496
Mean absolute error
0.1546
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8478
Per class
Predictive accuracy
0.8477
Prior entropy
0.9998
Recall
0.8477
Per class
Relative absolute error
0.3092
Root mean prior squared error
0.4999
Root mean squared error
0.3712
Root relative squared error
0.7424
SciMark benchmark
911.7126