Run
297606

Run 297606

Task 74 (Learning Curve) breast-w 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
0.9506 ± 0.0254
Per class
F measure
0.9556 ± 0.0226
Per class
Kappa
0.9018 ± 0.0498
KB relative information score
0.8976 ± 0.0521
Mean absolute error
0.0443 ± 0.0226
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9556 ± 0.0223
Per class
Predictive accuracy
0.9557 ± 0.0226
Prior entropy
0.9293 ± 0.0041
Recall
0.9557 ± 0.0226
Per class
Relative absolute error
0.0981 ± 0.05
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.2106 ± 0.0609
Root relative squared error
0.4431 ± 0.1279
SciMark benchmark
1342.2505
UserCPU time millis
150
UserCPU time millis testing
150