DEVELOPMENT... OpenML
Run
130101

Run 130101

Task 3561 (Supervised Classification) profb 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
0.7032
Per class
Build CPU time
0.0976
Build memory
1139636214.1905
F measure
0.6748
Per class
Kappa
0.2569
KB relative information score
133.6906
Mean absolute error
0.3478
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6712
Per class
Predictive accuracy
0.6815
Prior entropy
0.9188
Recall
0.6815
Per class
Relative absolute error
0.7823
Root mean prior squared error
0.4714
Root mean squared error
0.4646
Root relative squared error
0.9856
SciMark benchmark
939.0159