DEVELOPMENT... OpenML
Run
107350

Run 107350

Task 3913 (Supervised Classification) kc2 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
0.7314
Per class
Build CPU time
1.0317
Build memory
1547115761.7471
F measure
0.8017
Per class
Kappa
0.3783
KB relative information score
146.8041
Mean absolute error
0.2036
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7982
Per class
Predictive accuracy
0.8065
Prior entropy
0.734
Recall
0.8065
Per class
Relative absolute error
0.6233
Root mean prior squared error
0.4037
Root mean squared error
0.4091
Root relative squared error
1.0134
SciMark benchmark
943.1304