DEVELOPMENT... OpenML
Run
52282

Run 52282

Task 1721 (Learning Curve) mfeat-zernike Uploaded 07-11-2014 by Felicia West
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
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
0.7062 ± 0.0205
Per class
Build CPU time
0.1116
Build memory
646549985.4545
F measure
0.2614 ± 0.0229
Per class
Kappa
0.1917 ± 0.0229
KB relative information score
0.2911 ± 0.015
Mean absolute error
0.1499 ± 0.0025
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2593 ± 0.0271
Per class
Predictive accuracy
0.2725 ± 0.0206
Prior entropy
3.3219
Recall
0.2725 ± 0.0206
Per class
Relative absolute error
0.8328 ± 0.014
Root mean prior squared error
0.3
Root mean squared error
0.3064 ± 0.0087
Root relative squared error
1.0213 ± 0.029
SciMark benchmark
946.7958