Run
58925

Run 58925

Task 2098 (Learning Curve) abalone Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.FilteredClassifier_Discretize_J48(3)Weka implementation of FilteredClassifier
weka.Discretize(2)_Rfirst-last
weka.Discretize(2)_precision6
weka.J48(13)_C0.25
weka.J48(13)_M2
weka.FilteredClassifier_Discretize_J48(3)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(3)_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
0.704 ± 0.0178
Per class
Build CPU time
0.0057
Build memory
2218924863.8154
Kappa
0.1447 ± 0.0235
KB relative information score
0.2279 ± 0.014
Mean absolute error
0.0564 ± 0.0005
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
0.2492 ± 0.0218
Prior entropy
3.6031 ± 0.0188
Recall
0.2492 ± 0.0218
Per class
Relative absolute error
0.9128 ± 0.0085
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.173 ± 0.002
Root relative squared error
0.9843 ± 0.0114
SciMark benchmark
1769.7895