DEVELOPMENT... OpenML
Run
107324

Run 107324

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.4708
Per class
Build CPU time
2.668
Build memory
745338370.9009
F measure
0.697
Per class
Kappa
-0.0521
KB relative information score
-186.5192
Mean absolute error
0.3212
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6671
Per class
Predictive accuracy
0.7365
Prior entropy
0.7123
Recall
0.7365
Per class
Relative absolute error
1.0237
Root mean prior squared error
0.3958
Root mean squared error
0.4535
Root relative squared error
1.1457
SciMark benchmark
916.0736