Run
25586

Run 25586

Task 93 (Learning Curve) postoperative-patient-data Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.3932 ± 0.1899
Per class
Build CPU time
0.0001
Build memory
6306600351.8
F measure
0.5521 ± 0.0938
Per class
Kappa
-0.1309 ± 0.144
KB relative information score
-0.1197 ± 0.2441
Mean absolute error
0.3023 ± 0.0671
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.4923 ± 0.0976
Per class
Predictive accuracy
0.6311 ± 0.101
Prior entropy
0.983 ± 0.181
Recall
0.6311 ± 0.101
Per class
Relative absolute error
1.0532 ± 0.2288
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4823 ± 0.0671
Root relative squared error
1.2843 ± 0.183
SciMark benchmark
1102.4419[661.4488375005706961.5544199194245506.96024954145463929.91840889640452452.327497984183]