Run
297165

Run 297165

Task 77 (Learning Curve) mfeat-morphological Uploaded 17-03-2015 by Joaquin Vanschoren
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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 ± 0.0073
Per class
Kappa
0.2903 ± 0.0215
KB relative information score
0.1603 ± 0.0033
Mean absolute error
0.17 ± 0.0003
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.3613 ± 0.0194
Prior entropy
3.3219
Recall
0.3613 ± 0.0194
Per class
Relative absolute error
0.9444 ± 0.0014
Root mean prior squared error
0.3
Root mean squared error
0.286 ± 0.0004
Root relative squared error
0.9534 ± 0.0012
SciMark benchmark
1342.2505