DEVELOPMENT... OpenML
Run
106349

Run 106349

Task 289 (Supervised Classification) iris 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
0.9678
Per class
Build CPU time
0.024
Build memory
948835488
F measure
0.9386
Per class
Kappa
0.9082
KB relative information score
45.1119
Mean absolute error
0.0397
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9484
Per class
Predictive accuracy
0.9388
Prior entropy
1.585
Recall
0.9388
Per class
Relative absolute error
0.0892
Root mean prior squared error
0.4714
Root mean squared error
0.1823
Root relative squared error
0.3866
SciMark benchmark
921.4443