DEVELOPMENT... OpenML
Run
201453

Run 201453

Task 3812 (Supervised Classification) arsenic-female-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
0.756
Per class
F measure
0.8392
Per class
Kappa
0.312
KB relative information score
12.9316
Mean absolute error
0.1763
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8331
Per class
Predictive accuracy
0.8479
Prior entropy
0.5956
Recall
0.8479
Per class
Relative absolute error
0.7163
Root mean prior squared error
0.3502
Root mean squared error
0.3386
Root relative squared error
0.9668
SciMark benchmark
1325.2092
UserCPU time millis
10
UserCPU time millis testing
10