DEVELOPMENT... OpenML
Run
49026

Run 49026

Task 1742 (Learning Curve) spambase Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.8584 ± 0.0143
Per class
Build CPU time
0.0597
Build memory
2353156534
F measure
0.7938 ± 0.0153
Per class
Kappa
0.5669 ± 0.0326
KB relative information score
0.5123 ± 0.0266
Mean absolute error
0.2348 ± 0.0124
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7935 ± 0.0152
Per class
Predictive accuracy
0.7946 ± 0.0149
Prior entropy
0.9674 ± 0.0006
Recall
0.7946 ± 0.0149
Per class
Relative absolute error
0.4916 ± 0.026
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3951 ± 0.0124
Root relative squared error
0.8087 ± 0.0253
SciMark benchmark
1655.4655