DEVELOPMENT... OpenML
Run
109123

Run 109123

Task 55 (Supervised Classification) vote 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
0.963
Per class
Build CPU time
0.1313
Build memory
323192301.9586
F measure
0.9222
Per class
Kappa
0.8369
KB relative information score
365.4982
Mean absolute error
0.0737
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9236
Per class
Predictive accuracy
0.9218
Prior entropy
0.9627
Recall
0.9218
Per class
Relative absolute error
0.1554
Root mean prior squared error
0.4869
Root mean squared error
0.244
Root relative squared error
0.5012
SciMark benchmark
945.0554