Run
297622

Run 297622

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

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.4368 ± 0.1328
Per class
F measure
0.5251 ± 0.1228
Per class
Kappa
-0.1364 ± 0.2509
KB relative information score
-0.1557 ± 0.3474
Mean absolute error
0.3119 ± 0.1017
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
0.5185 ± 0.1281
Per class
Predictive accuracy
0.5322 ± 0.1525
Prior entropy
0.983 ± 0.181
Recall
0.5322 ± 0.1525
Per class
Relative absolute error
1.0864 ± 0.3468
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.5584 ± 0.0951
Root relative squared error
1.4872 ± 0.2617
SciMark benchmark
1342.3412