DEVELOPMENT... OpenML
Run
61542

Run 61542

Task 1719 (Learning Curve) mfeat-pixel 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
0.9861 ± 0.0056
Per class
Build CPU time
0.2616
Build memory
2181283790.9818
F measure
0.8938 ± 0.025
Per class
Kappa
0.8817 ± 0.0273
KB relative information score
0.897 ± 0.0233
Mean absolute error
0.0213 ± 0.0045
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8945 ± 0.0249
Per class
Predictive accuracy
0.8935 ± 0.0246
Prior entropy
3.3219
Recall
0.8935 ± 0.0246
Per class
Relative absolute error
0.1181 ± 0.0253
Root mean prior squared error
0.3
Root mean squared error
0.1351 ± 0.0175
Root relative squared error
0.4502 ± 0.0584
SciMark benchmark
1591.1714