DEVELOPMENT... OpenML
Run
106498

Run 106498

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)_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.

21 Evaluation measures

Area under ROC curve
0.8129
Per class
Build CPU time
0.0455
Build memory
1446431468.241
F measure
0.7815
Per class
Kappa
0.5564
KB relative information score
45.3523
Mean absolute error
0.2242
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
0.7835
Per class
Predictive accuracy
0.7831
Prior entropy
0.9919
Recall
0.7831
Per class
Relative absolute error
0.4535
Root mean prior squared error
0.4971
Root mean squared error
0.4454
Root relative squared error
0.8962
SciMark benchmark
906.4221