Run
297180

Run 297180

Task 94 (Learning Curve) dermatology Uploaded 17-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9742 ± 0.01
Per class
F measure
0.9231 ± 0.0352
Per class
Kappa
0.905 ± 0.0425
KB relative information score
0.0708 ± 0.0024
Mean absolute error
0.2691 ± 0.0003
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.931 ± 0.0298
Per class
Predictive accuracy
0.9246 ± 0.0336
Prior entropy
2.4327 ± 0.0089
Recall
0.9246 ± 0.0336
Per class
Relative absolute error
1.0099 ± 0.0019
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.3612 ± 0.0004
Root relative squared error
0.9899 ± 0.0018
SciMark benchmark
1334.4826