DEVELOPMENT... OpenML
Run
200829

Run 200829

Task 41 (Supervised Classification) soybean Uploaded 27-02-2015 by Felicia West
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K3
weka.IBk(4)_W0
weka.IBk(4)_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
0.9887
Per class
F measure
0.9072
Per class
Kappa
0.8987
KB relative information score
626.7068
Mean absolute error
0.0134
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9158
Per class
Predictive accuracy
0.9078
Prior entropy
3.8572
Recall
0.9078
Per class
Relative absolute error
0.1392
Root mean prior squared error
0.2191
Root mean squared error
0.0813
Root relative squared error
0.3711
SciMark benchmark
1324.8395
UserCPU time millis
100
UserCPU time millis testing
100