DEVELOPMENT... OpenML
Run
109539

Run 109539

Task 3837 (Supervised Classification) hayes-roth 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
0.7976
Per class
Build CPU time
0.1229
Build memory
186032260.6667
F measure
0.7228
Per class
Kappa
0.4276
KB relative information score
63.6937
Mean absolute error
0.2352
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7326
Per class
Predictive accuracy
0.7197
Prior entropy
0.9635
Recall
0.7197
Per class
Relative absolute error
0.4955
Root mean prior squared error
0.4869
Root mean squared error
0.4252
Root relative squared error
0.8732
SciMark benchmark
919.5971