DEVELOPMENT... OpenML
Run
107650

Run 107650

Task 3590 (Supervised Classification) analcatdata_vineyard 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)_I40
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
0.881
Per class
Build CPU time
1.5118
Build memory
1004639548.2393
F measure
0.8485
Per class
Kappa
0.6935
KB relative information score
324.9912
Mean absolute error
0.1499
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8488
Per class
Predictive accuracy
0.8483
Prior entropy
0.9912
Recall
0.8483
Per class
Relative absolute error
0.3036
Root mean prior squared error
0.4969
Root mean squared error
0.3844
Root relative squared error
0.7736
SciMark benchmark
947.9978