DEVELOPMENT... OpenML
Run
53747

Run 53747

Task 2098 (Learning Curve) abalone Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.6587 ± 0.0154
Per class
Build CPU time
0.4563
Build memory
722659377.9077
Kappa
0.1341 ± 0.024
KB relative information score
0.2007 ± 0.0202
Mean absolute error
0.0549 ± 0.0009
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
0.2305 ± 0.0217
Prior entropy
3.6031 ± 0.0188
Recall
0.2305 ± 0.0217
Per class
Relative absolute error
0.8881 ± 0.0154
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1987 ± 0.003
Root relative squared error
1.1307 ± 0.0169
SciMark benchmark
1678.1065