DEVELOPMENT... OpenML
Run
107047

Run 107047

Task 3550 (Supervised Classification) analcatdata_asbestos 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
0.8273
Per class
Build CPU time
0.0817
Build memory
1860140283.3735
F measure
0.7687
Per class
Kappa
0.5305
KB relative information score
45.2412
Mean absolute error
0.2237
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7721
Per class
Predictive accuracy
0.7711
Prior entropy
0.9919
Recall
0.7711
Per class
Relative absolute error
0.4526
Root mean prior squared error
0.4971
Root mean squared error
0.4531
Root relative squared error
0.9116
SciMark benchmark
936.0117