Run
297600

Run 297600

Task 66 (Learning Curve) audiology 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.

20 Evaluation measures

Area under ROC curve
0.8593 ± 0.0465
Per class
Kappa
0.7149 ± 0.0923
KB relative information score
0.6871 ± 0.0993
Mean absolute error
0.0202 ± 0.0065
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7575 ± 0.0784
Prior entropy
3.4373 ± 0.1528
Recall
0.7575 ± 0.0784
Per class
Relative absolute error
0.2791 ± 0.0897
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1421 ± 0.0237
Root relative squared error
0.7509 ± 0.1236
SciMark benchmark
1342.2505
UserCPU time millis
30
UserCPU time millis testing
30