DEVELOPMENT... OpenML
Run
57538

Run 57538

Task 1731 (Learning Curve) pendigits Uploaded 13-11-2014 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
0.6573 ± 0.0063
Per class
Build CPU time
0.0061
Build memory
1868378735.85
F measure
0.356 ± 0.0106
Per class
Kappa
0.3146 ± 0.0127
KB relative information score
0.3543 ± 0.0118
Mean absolute error
0.1232 ± 0.0023
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.3689 ± 0.0087
Per class
Predictive accuracy
0.3841 ± 0.0114
Prior entropy
3.3208 ± 0.0002
Recall
0.3841 ± 0.0114
Per class
Relative absolute error
0.6845 ± 0.0127
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.351 ± 0.0032
Root relative squared error
1.17 ± 0.0108
SciMark benchmark
1792.3312