DEVELOPMENT... OpenML
Run
130226

Run 130226

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.6887
Per class
Build CPU time
0.0058
Build memory
1239292664
F measure
0.6975
Per class
Kappa
0.3662
KB relative information score
17.3361
Mean absolute error
0.3424
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6967
Per class
Predictive accuracy
0.7
Prior entropy
0.9728
Recall
0.7
Per class
Relative absolute error
0.7123
Root mean prior squared error
0.4899
Root mean squared error
0.5055
Root relative squared error
1.0319
SciMark benchmark
939.0159