Run
297628

Run 297628

Task 98 (Learning Curve) sonar 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
0.8656 ± 0.0776
Per class
F measure
0.8682 ± 0.0778
Per class
Kappa
0.735 ± 0.1548
KB relative information score
0.7358 ± 0.1537
Mean absolute error
0.1313 ± 0.0763
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8701 ± 0.0747
Per class
Predictive accuracy
0.8688 ± 0.0763
Prior entropy
0.9967 ± 0.0043
Recall
0.8688 ± 0.0763
Per class
Relative absolute error
0.2637 ± 0.1533
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3623 ± 0.1139
Root relative squared error
0.7262 ± 0.2284
SciMark benchmark
1342.3412
UserCPU time millis
80
UserCPU time millis testing
80