OpenML
154811

Run 154811

Task 1764 (Learning Curve) electricity Uploaded 10-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.932 ± 0.0046
Per class
F measure
0.8808 ± 0.0049
Per class
Kappa
0.756 ± 0.01
KB relative information score
0.6913 ± 0.0103
Mean absolute error
0.1585 ± 0.0052
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8808 ± 0.0049
Per class
Predictive accuracy
0.8808 ± 0.0048
Prior entropy
0.9835 ± 0
Recall
0.8808 ± 0.0048
Per class
Relative absolute error
0.3243 ± 0.0106
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3092 ± 0.0061
Root relative squared error
0.6255 ± 0.0124
SciMark benchmark
639.2945
UserCPU time millis
650
UserCPU time millis testing
40
UserCPU time millis training
610