DEVELOPMENT... OpenML
Run
128064

Run 128064

Task 47 (Supervised Classification) tae 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
0.5783
Per class
Build CPU time
0.0009
Build memory
1082145288
F measure
0.4353
Per class
Kappa
0.1544
KB relative information score
18.0007
Mean absolute error
0.4141
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4356
Per class
Predictive accuracy
0.4371
Prior entropy
1.5845
Recall
0.4371
Per class
Relative absolute error
0.9321
Root mean prior squared error
0.4713
Root mean squared error
0.5507
Root relative squared error
1.1683
SciMark benchmark
908.8705