DEVELOPMENT... OpenML
Run
154844

Run 154844

Task 1742 (Learning Curve) spambase 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
0.9061 ± 0.0113
Per class
F measure
0.9094 ± 0.0116
Per class
Kappa
0.8104 ± 0.0242
KB relative information score
0.8069 ± 0.0247
Mean absolute error
0.0904 ± 0.0115
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9095 ± 0.0115
Per class
Predictive accuracy
0.9094 ± 0.0117
Prior entropy
0.9674 ± 0.0006
Recall
0.9094 ± 0.0117
Per class
Relative absolute error
0.1893 ± 0.0242
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3005 ± 0.0201
Root relative squared error
0.615 ± 0.0412
SciMark benchmark
639.2945
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60