DEVELOPMENT... OpenML
Run
61552

Run 61552

Task 1721 (Learning Curve) mfeat-zernike 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
0.936 ± 0.0095
Per class
Build CPU time
1.054
Build memory
2076501219.4182
F measure
0.7445 ± 0.0314
Per class
Kappa
0.7161 ± 0.0342
KB relative information score
0.7429 ± 0.0314
Mean absolute error
0.051 ± 0.006
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
0.7459 ± 0.0289
Per class
Predictive accuracy
0.7445 ± 0.0308
Prior entropy
3.3219
Recall
0.7445 ± 0.0308
Per class
Relative absolute error
0.2835 ± 0.0336
Root mean prior squared error
0.3
Root mean squared error
0.2166 ± 0.0132
Root relative squared error
0.7219 ± 0.0441
SciMark benchmark
1559.5381