Run
297596

Run 297596

Task 64 (Learning Curve) labor 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
0.8595 ± 0.13
Per class
F measure
0.8597 ± 0.1332
Per class
Kappa
0.6974 ± 0.2677
KB relative information score
0.677 ± 0.3052
Mean absolute error
0.1421 ± 0.1332
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8654 ± 0.1083
Per class
Predictive accuracy
0.8579 ± 0.1332
Prior entropy
0.9349 ± 0.0618
Recall
0.8579 ± 0.1332
Per class
Relative absolute error
0.3109 ± 0.2923
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.377 ± 0.2385
Root relative squared error
0.7898 ± 0.502
SciMark benchmark
1357.9528