DEVELOPMENT... OpenML
Run
61559

Run 61559

Task 1731 (Learning Curve) pendigits 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
0.9977 ± 0.0011
Per class
Build CPU time
0.5475
Build memory
2428359913.25
F measure
0.9864 ± 0.0039
Per class
Kappa
0.9849 ± 0.0043
KB relative information score
0.9875 ± 0.0042
Mean absolute error
0.0026 ± 0.0008
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9865 ± 0.0037
Per class
Predictive accuracy
0.9864 ± 0.0038
Prior entropy
3.3208 ± 0.0002
Recall
0.9864 ± 0.0038
Per class
Relative absolute error
0.0143 ± 0.0045
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0484 ± 0.0081
Root relative squared error
0.1613 ± 0.0271
SciMark benchmark
1592.7924