DEVELOPMENT... OpenML
Run
154849

Run 154849

Task 1757 (Learning Curve) waveform-5000 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
0.793 ± 0.0154
Per class
F measure
0.7242 ± 0.02
Per class
Kappa
0.5863 ± 0.0306
KB relative information score
0.6225 ± 0.028
Mean absolute error
0.1839 ± 0.0136
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7243 ± 0.0196
Per class
Predictive accuracy
0.7242 ± 0.0204
Prior entropy
1.5849 ± 0
Recall
0.7242 ± 0.0204
Per class
Relative absolute error
0.4137 ± 0.0305
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4288 ± 0.0159
Root relative squared error
0.9096 ± 0.0338
SciMark benchmark
639.2945
UserCPU time millis
100
UserCPU time millis training
100