DEVELOPMENT... OpenML
Run
130082

Run 130082

Task 3544 (Supervised Classification) analcatdata_broadwaymult Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.4671
Per class
Build CPU time
0.0039
Build memory
1093685227.3404
F measure
0.251
Per class
Kappa
-0.0171
KB relative information score
17.3855
Mean absolute error
0.2306
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2498
Per class
Predictive accuracy
0.2667
Prior entropy
2.4897
Recall
0.2667
Per class
Relative absolute error
1.0468
Root mean prior squared error
0.3314
Root mean squared error
0.3953
Root relative squared error
1.1928
SciMark benchmark
925.481