Run
161756

Run 161756

Task 1731 (Learning Curve) pendigits Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.9965 ± 0.0011
Per class
F measure
0.9937 ± 0.0019
Per class
Kappa
0.993 ± 0.0021
KB relative information score
0.9934 ± 0.002
Mean absolute error
0.0013 ± 0.0004
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9937 ± 0.0019
Per class
Predictive accuracy
0.9937 ± 0.0019
Prior entropy
3.3208 ± 0.0002
Recall
0.9937 ± 0.0019
Per class
Relative absolute error
0.007 ± 0.0021
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0354 ± 0.0055
Root relative squared error
0.1181 ± 0.0182
SciMark benchmark
1060.8407
UserCPU time millis
42450
UserCPU time millis testing
42450