DEVELOPMENT... OpenML
Run
128536

Run 128536

Task 3831 (Supervised Classification) analcatdata_birthday 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
0.9168
Per class
Build CPU time
0.0041
Build memory
1064658908.7123
F measure
0.8478
Per class
Kappa
0.4036
KB relative information score
78.3735
Mean absolute error
0.1537
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8525
Per class
Predictive accuracy
0.8438
Prior entropy
0.6026
Recall
0.8438
Per class
Relative absolute error
0.6159
Root mean prior squared error
0.3523
Root mean squared error
0.379
Root relative squared error
1.0758
SciMark benchmark
929.5397