DEVELOPMENT... OpenML
Run
61364

Run 61364

Task 2098 (Learning Curve) abalone Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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.

19 Evaluation measures

Area under ROC curve
0.553 ± 0.0052
Per class
Build CPU time
0.0042
Build memory
1126506402.4
Kappa
0.1082 ± 0.0105
KB relative information score
0.1609 ± 0.0102
Mean absolute error
0.0538 ± 0.0006
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2198 ± 0.008
Prior entropy
3.6031 ± 0.0188
Recall
0.2198 ± 0.008
Per class
Relative absolute error
0.8708 ± 0.0089
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.232 ± 0.0012
Root relative squared error
1.3201 ± 0.0068
SciMark benchmark
1591.1714