Run
297604

Run 297604

Task 70 (Learning Curve) balance-scale 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
0.8276 ± 0.0323
Per class
F measure
0.7816 ± 0.035
Per class
Kappa
0.6143 ± 0.0709
KB relative information score
0.5597 ± 0.0672
Mean absolute error
0.1468 ± 0.0295
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7835 ± 0.0302
Per class
Predictive accuracy
0.7798 ± 0.0442
Prior entropy
1.3181 ± 0.0119
Recall
0.7798 ± 0.0442
Per class
Relative absolute error
0.3865 ± 0.0776
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3831 ± 0.0386
Root relative squared error
0.8795 ± 0.0888
SciMark benchmark
1327.0519
UserCPU time millis
30
UserCPU time millis testing
30