Run
161563

Run 161563

Task 1717 (Learning Curve) mfeat-morphological Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.8747 ± 0.0059
Per class
Kappa
0.2894 ± 0.0261
KB relative information score
0.1602 ± 0.0032
Mean absolute error
0.17 ± 0.0002
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.3605 ± 0.0235
Prior entropy
3.3219
Recall
0.3605 ± 0.0235
Per class
Relative absolute error
0.9444 ± 0.0012
Root mean prior squared error
0.3
Root mean squared error
0.286 ± 0.0003
Root relative squared error
0.9534 ± 0.001
SciMark benchmark
1060.8407