Run
296958

Run 296958

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.ConjunctiveRule(3)Weka implementation of ConjunctiveRule
weka.ConjunctiveRule(3)_N3
weka.ConjunctiveRule(3)_M2.0
weka.ConjunctiveRule(3)_P-1
weka.ConjunctiveRule(3)_S1

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
0.7963 ± 0.0195
Per class
Kappa
0.3386 ± 0.0157
KB relative information score
0.3626 ± 0.0152
Mean absolute error
0.1993 ± 0.0084
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]
Predictive accuracy
0.4992 ± 0.0147
Prior entropy
2.4327 ± 0.0089
Recall
0.4992 ± 0.0147
Per class
Relative absolute error
0.7479 ± 0.0311
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.3166 ± 0.0074
Root relative squared error
0.8678 ± 0.0199
SciMark benchmark
1341.6606