DEVELOPMENT... OpenML
Run
111247

Run 111247

Task 30 (Supervised Classification) page-blocks 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)_I80
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
0.8762
Per class
Build CPU time
318.8486
Build memory
316636336.4765
F measure
0.9585
Per class
Kappa
0.7769
KB relative information score
3837.1936
Mean absolute error
0.0163
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9579
Per class
Predictive accuracy
0.9596
Prior entropy
0.6391
Recall
0.9596
Per class
Relative absolute error
0.2144
Root mean prior squared error
0.1949
Root mean squared error
0.1264
Root relative squared error
0.6488
SciMark benchmark
906.6607