Run
1812479

Run 1812479

Task 1740 (Learning Curve) soybean Uploaded 17-08-2016 by Jan van Rijn
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K10
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.992 ± 0.0039
Per class
F measure
0.8688 ± 0.007
Per class
Kappa
0.8612 ± 0.0329
KB relative information score
590.7998 ± 1.412
Mean absolute error
0.0228 ± 0.002
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.8965 ± 0.0191
Per class
Predictive accuracy
0.8741 ± 0.0298
Prior entropy
3.8572
Recall
0.8741 ± 0.0298
Per class
Relative absolute error
0.2375 ± 0.0208
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0997 ± 0.0067
Root relative squared error
0.455 ± 0.0304
SciMark benchmark
1559.5035
UserCPU time millis
180
UserCPU time millis testing
180