Run
297167

Run 297167

Task 79 (Learning Curve) mfeat-pixel 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
0.8945 ± 0.0096
Per class
F measure
0.6095 ± 0.0306
Per class
Kappa
0.5605 ± 0.033
KB relative information score
0.0076 ± 0.0002
Mean absolute error
0.1797 ± 0
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]
Precision
0.7037 ± 0.03
Per class
Predictive accuracy
0.6045 ± 0.0297
Prior entropy
3.3219
Recall
0.6045 ± 0.0297
Per class
Relative absolute error
0.9981 ± 0.0001
Root mean prior squared error
0.3
Root mean squared error
0.2994 ± 0
Root relative squared error
0.9981 ± 0.0001
SciMark benchmark
1334.4826
UserCPU time millis
30
UserCPU time millis testing
30