DEVELOPMENT... OpenML
Run
110328

Run 110328

Task 3060 (Supervised Classification) squash-stored 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)_I160
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
0.6515
Per class
Build CPU time
0.013
Build memory
498469016
F measure
0.5833
Per class
Kappa
0.3081
KB relative information score
5.9967
Mean absolute error
0.2879
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6415
Per class
Predictive accuracy
0.5882
Prior entropy
1.4782
Recall
0.5882
Per class
Relative absolute error
0.6915
Root mean prior squared error
0.4569
Root mean squared error
0.5042
Root relative squared error
1.1034
SciMark benchmark
908.8705