Run
297179

Run 297179

Task 93 (Learning Curve) postoperative-patient-data 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
0.476 ± 0.1173
Per class
Kappa
-0.0169 ± 0.0485
KB relative information score
-0.6219 ± 0.2583
Mean absolute error
0.4279 ± 0.0065
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7022 ± 0.0609
Prior entropy
0.983 ± 0.181
Recall
0.7022 ± 0.0609
Per class
Relative absolute error
1.4905 ± 0.1159
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4575 ± 0.0036
Root relative squared error
1.2184 ± 0.0889
SciMark benchmark
1334.4826