Run
55027

Run 55027

Task 2098 (Learning Curve) abalone Uploaded 10-11-2014 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.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_M2

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
0.5846 ± 0.0141
Per class
Build CPU time
0.0621
Build memory
2326160244.3077
Kappa
0.1032 ± 0.0219
KB relative information score
0.1845 ± 0.0227
Mean absolute error
0.0558 ± 0.0012
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
0.2018 ± 0.0189
Prior entropy
3.6031 ± 0.0188
Recall
0.2018 ± 0.0189
Per class
Relative absolute error
0.9034 ± 0.0198
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.2111 ± 0.0033
Root relative squared error
1.2016 ± 0.0191
SciMark benchmark
1634.4504