Run
297605

Run 297605

Task 72 (Learning Curve) breast-cancer Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.609 ± 0.091
Per class
F measure
0.682 ± 0.0776
Per class
Kappa
0.2261 ± 0.1862
KB relative information score
0.1996 ± 0.1993
Mean absolute error
0.3115 ± 0.078
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6775 ± 0.0819
Per class
Predictive accuracy
0.6885 ± 0.078
Prior entropy
0.8779 ± 0.0199
Recall
0.6885 ± 0.078
Per class
Relative absolute error
0.7447 ± 0.1855
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.5582 ± 0.0701
Root relative squared error
1.2213 ± 0.1536
SciMark benchmark
1342.2505
UserCPU time millis
10
UserCPU time millis testing
10