Run
296957

Run 296957

Task 93 (Learning Curve) postoperative-patient-data Uploaded 17-03-2015 by Joaquin Vanschoren
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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.

22 Evaluation measures

Area under ROC curve
0.4242 ± 0.0465
Per class
F measure
0.5867 ± 0.1068
Per class
Kappa
-0.015 ± 0.052
KB relative information score
0.0097 ± 0.0691
Mean absolute error
0.2836 ± 0.0264
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]
Precision
0.5038 ± 0.1075
Per class
Predictive accuracy
0.7022 ± 0.0686
Prior entropy
0.983 ± 0.181
Recall
0.7022 ± 0.0686
Per class
Relative absolute error
0.988 ± 0.0597
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3842 ± 0.0385
Root relative squared error
1.0233 ± 0.063
SciMark benchmark
1341.6606