Run
161553

Run 161553

Task 1705 (Learning Curve) letter 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
0.8463 ± 0.0039
Per class
Kappa
0.1906 ± 0.0091
KB relative information score
0.0241 ± 0.0003
Mean absolute error
0.0737 ± 0
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.2219 ± 0.0088
Prior entropy
4.6998 ± 0.0001
Recall
0.2219 ± 0.0088
Per class
Relative absolute error
0.9967 ± 0.0001
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1917 ± 0
Root relative squared error
0.9968 ± 0.0001
SciMark benchmark
1060.8407
UserCPU time millis
150
UserCPU time millis testing
140
UserCPU time millis training
10