DEVELOPMENT... OpenML
Run
201450

Run 201450

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.798
Per class
F measure
0.9725
Per class
Kappa
0.6376
KB relative information score
34.7741
Mean absolute error
0.0382
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9726
Per class
Predictive accuracy
0.975
Prior entropy
0.2628
Recall
0.975
Per class
Relative absolute error
0.4563
Root mean prior squared error
0.2027
Root mean squared error
0.1588
Root relative squared error
0.7835
SciMark benchmark
1324.8395
UserCPU time millis
20
UserCPU time millis testing
20