DEVELOPMENT... OpenML
Run
109428

Run 109428

Task 3713 (Supervised Classification) schlvote Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.5
Per class
Build CPU time
0.0033
Build memory
234907698.5263
F measure
0.6553
Per class
Kappa
0.0656
KB relative information score
3.6903
Mean absolute error
0.326
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6404
Per class
Predictive accuracy
0.6842
Prior entropy
0.8485
Recall
0.6842
Per class
Relative absolute error
0.8286
Root mean prior squared error
0.4405
Root mean squared error
0.5469
Root relative squared error
1.2415
SciMark benchmark
923.8078

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