Run
454247

Run 454247

Task 2098 (Learning Curve) abalone Uploaded 02-06-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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.

20 Evaluation measures

Area under ROC curve
0.704 ± 0.0178
Per class
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_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
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
921.1883
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40