Run
161731

Run 161731

Task 1714 (Learning Curve) breast-w Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.9484 ± 0.032
Per class
F measure
0.9542 ± 0.0313
Per class
Kappa
0.8985 ± 0.0686
KB relative information score
0.8943 ± 0.0726
Mean absolute error
0.0458 ± 0.0315
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9541 ± 0.031
Per class
Predictive accuracy
0.9542 ± 0.0315
Prior entropy
0.9293 ± 0.0043
Recall
0.9542 ± 0.0315
Per class
Relative absolute error
0.1013 ± 0.0696
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.214 ± 0.09
Root relative squared error
0.4502 ± 0.1891
SciMark benchmark
1060.8407
UserCPU time millis
100
UserCPU time millis testing
100