Run
297614

Run 297614

Task 81 (Learning Curve) mfeat-zernike 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
0.884 ± 0.0104
Per class
F measure
0.7928 ± 0.0181
Per class
Kappa
0.7679 ± 0.0207
KB relative information score
0.7816 ± 0.0195
Mean absolute error
0.0418 ± 0.0037
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7952 ± 0.018
Per class
Predictive accuracy
0.7912 ± 0.0187
Prior entropy
3.3219
Recall
0.7912 ± 0.0187
Per class
Relative absolute error
0.2321 ± 0.0207
Root mean prior squared error
0.3
Root mean squared error
0.2044 ± 0.0091
Root relative squared error
0.6813 ± 0.0302
SciMark benchmark
1357.9528
UserCPU time millis
4120
UserCPU time millis testing
4120