Run
161581

Run 161581

Task 1731 (Learning Curve) pendigits 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
0.8859 ± 0.0043
Per class
Kappa
0.0405 ± 0.0268
KB relative information score
0.0483 ± 0.0017
Mean absolute error
0.1776 ± 0.0001
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.14 ± 0.0239
Prior entropy
3.3208 ± 0.0002
Recall
0.14 ± 0.0239
Per class
Relative absolute error
0.9868 ± 0.0005
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2962 ± 0.0001
Root relative squared error
0.9876 ± 0.0004
SciMark benchmark
1092.7668
UserCPU time millis
30
UserCPU time millis testing
30