DEVELOPMENT... OpenML
Run
128594

Run 128594

Task 3898 (Supervised Classification) kc1-top5 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)_I10
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
0.7742
Per class
Build CPU time
0.0186
Build memory
462295164.0828
F measure
0.9311
Per class
Kappa
0.277
KB relative information score
26.5679
Mean absolute error
0.0613
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9264
Per class
Predictive accuracy
0.9379
Prior entropy
0.3323
Recall
0.9379
Per class
Relative absolute error
0.559
Root mean prior squared error
0.2284
Root mean squared error
0.2456
Root relative squared error
1.0752
SciMark benchmark
943.5504