DEVELOPMENT... OpenML
Run
50201

Run 50201

Task 1717 (Learning Curve) mfeat-morphological Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.KStar(2)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(2)_B20
weka.KStar(2)_Ma

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.

21 Evaluation measures

Area under ROC curve
0.9565 ± 0.0044
Per class
Build CPU time
0.0002
Build memory
772269637.6727
F measure
0.6911 ± 0.0196
Per class
Kappa
0.6589 ± 0.0247
KB relative information score
0.7446 ± 0.0174
Mean absolute error
0.0679 ± 0.0033
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.6913 ± 0.0192
Per class
Predictive accuracy
0.693 ± 0.0223
Prior entropy
3.3219
Recall
0.693 ± 0.0223
Per class
Relative absolute error
0.3773 ± 0.0184
Root mean prior squared error
0.3
Root mean squared error
0.1941 ± 0.0071
Root relative squared error
0.647 ± 0.0236
SciMark benchmark
1794.5417