Run
292895

Run 292895

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

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.4179 ± 0.0621
Per class
Kappa
-0.0068 ± 0.0402
KB relative information score
0.0062 ± 0.0572
Mean absolute error
0.2846 ± 0.0229
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
0.7067 ± 0.0622
Prior entropy
0.983 ± 0.181
Recall
0.7067 ± 0.0622
Per class
Relative absolute error
0.9913 ± 0.0471
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3821 ± 0.0371
Root relative squared error
1.0176 ± 0.06
SciMark benchmark
1342.2505