Run
297169

Run 297169

Task 82 (Learning Curve) cmc 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.

22 Evaluation measures

Area under ROC curve
0.5248 ± 0.0079
Per class
F measure
0.2557
Per class
Kappa
0.0001 ± 0.0023
KB relative information score
0.0161 ± 0.0015
Mean absolute error
0.4439 ± 0.0002
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.1825
Per class
Predictive accuracy
0.4269 ± 0.0037
Prior entropy
1.539 ± 0.0028
Recall
0.4269 ± 0.0037
Per class
Relative absolute error
1.0303 ± 0.001
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4708 ± 0.0002
Root relative squared error
1.0145 ± 0.001
SciMark benchmark
1334.4826