DEVELOPMENT... OpenML
Run
61539

Run 61539

Task 1720 (Learning Curve) car Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.9895 ± 0.0067
Per class
Build CPU time
0.0104
Build memory
1643959612.0727
F measure
0.947 ± 0.0176
Per class
Kappa
0.8847 ± 0.0358
KB relative information score
0.8719 ± 0.0437
Mean absolute error
0.0264 ± 0.0087
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9476 ± 0.0188
Per class
Predictive accuracy
0.9468 ± 0.0165
Prior entropy
1.2058 ± 0.0093
Recall
0.9468 ± 0.0165
Per class
Relative absolute error
0.1155 ± 0.0381
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1542 ± 0.0277
Root relative squared error
0.456 ± 0.0819
SciMark benchmark
1559.5381