DEVELOPMENT... OpenML
Run
154851

Run 154851

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

weka.RandomTree(10)Weka implementation of RandomTree
weka.RandomTree(10)_K0
weka.RandomTree(10)_M1.0
weka.RandomTree(10)_V0.001
weka.RandomTree(10)_S1

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
0.8777 ± 0.0038
Per class
F measure
0.8802 ± 0.0036
Per class
Kappa
0.7548 ± 0.0074
KB relative information score
0.7527 ± 0.0075
Mean absolute error
0.1196 ± 0.0036
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
0.8802 ± 0.0036
Per class
Predictive accuracy
0.8803 ± 0.0036
Prior entropy
0.9835 ± 0
Recall
0.8803 ± 0.0036
Per class
Relative absolute error
0.2448 ± 0.0074
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3456 ± 0.0053
Root relative squared error
0.6993 ± 0.0106
SciMark benchmark
639.2945
UserCPU time millis
640
UserCPU time millis testing
50
UserCPU time millis training
590