DEVELOPMENT... OpenML
Run
65246

Run 65246

Task 1752 (Learning Curve) vehicle Uploaded 20-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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.

21 Evaluation measures

Area under ROC curve
0.749 ± 0.0309
Per class
Build CPU time
0.0171
Build memory
3494574226.9333
F measure
0.5169 ± 0.0383
Per class
Kappa
0.3655 ± 0.0514
KB relative information score
0.3673 ± 0.0354
Mean absolute error
0.2715 ± 0.0138
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5156 ± 0.0454
Per class
Predictive accuracy
0.5236 ± 0.0383
Prior entropy
1.9991 ± 0.0005
Recall
0.5236 ± 0.0383
Per class
Relative absolute error
0.7242 ± 0.0368
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4086 ± 0.0218
Root relative squared error
0.9438 ± 0.0503
SciMark benchmark
1885.6155