Run
297626

Run 297626

Task 95 (Learning Curve) segment 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
0.9834 ± 0.0067
Per class
F measure
0.9715 ± 0.0115
Per class
Kappa
0.9668 ± 0.0133
KB relative information score
0.9693 ± 0.0123
Mean absolute error
0.0081 ± 0.0033
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9716 ± 0.0113
Per class
Predictive accuracy
0.9716 ± 0.0114
Prior entropy
2.8074
Recall
0.9716 ± 0.0114
Per class
Relative absolute error
0.0332 ± 0.0133
Root mean prior squared error
0.3499
Root mean squared error
0.0901 ± 0.0193
Root relative squared error
0.2576 ± 0.0551
SciMark benchmark
1342.3412
UserCPU time millis
3570
UserCPU time millis testing
3570