DEVELOPMENT... OpenML
Run
61546

Run 61546

Task 1728 (Learning Curve) credit-approval 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
0.9112 ± 0.0343
Per class
Build CPU time
0.0206
Build memory
3068883437.1
F measure
0.8508 ± 0.0528
Per class
Kappa
0.6981 ± 0.1075
KB relative information score
0.6958 ± 0.1005
Mean absolute error
0.1494 ± 0.0487
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8509 ± 0.0523
Per class
Predictive accuracy
0.8507 ± 0.0525
Prior entropy
0.9912 ± 0.0022
Recall
0.8507 ± 0.0525
Per class
Relative absolute error
0.3025 ± 0.0987
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3729 ± 0.0642
Root relative squared error
0.7504 ± 0.1296
SciMark benchmark
1592.7924