DEVELOPMENT... OpenML
Run
107112

Run 107112

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.7168
Per class
Build CPU time
0.1879
Build memory
2913704864.8
F measure
0.6581
Per class
Kappa
0.3075
KB relative information score
30.1188
Mean absolute error
0.3453
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6582
Per class
Predictive accuracy
0.66
Prior entropy
0.9931
Recall
0.66
Per class
Relative absolute error
0.6974
Root mean prior squared error
0.4975
Root mean squared error
0.5562
Root relative squared error
1.1181
SciMark benchmark
937.2031