Run
161770

Run 161770

Task 1764 (Learning Curve) electricity 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
0.7881 ± 0.0052
Per class
F measure
0.793 ± 0.0052
Per class
Kappa
0.5764 ± 0.0105
KB relative information score
0.5722 ± 0.0108
Mean absolute error
0.2069 ± 0.0052
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.793 ± 0.0051
Per class
Predictive accuracy
0.7931 ± 0.0052
Prior entropy
0.9835 ± 0
Recall
0.7931 ± 0.0052
Per class
Relative absolute error
0.4235 ± 0.0107
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4549 ± 0.0057
Root relative squared error
0.9203 ± 0.0115
SciMark benchmark
1092.7668
UserCPU time millis
329910
UserCPU time millis testing
329910