Run
51813

Run 51813

Task 1728 (Learning Curve) credit-approval Uploaded 07-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_REPTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.MultiBoostAB_REPTree(2)_C3
weka.MultiBoostAB_REPTree(2)_P100
weka.MultiBoostAB_REPTree(2)_S1
weka.MultiBoostAB_REPTree(2)_I10
weka.MultiBoostAB_REPTree(2)_Wweka.classifiers.trees.REPTree

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
0.9173 ± 0.0439
Per class
Build CPU time
0.0136
Build memory
2211091921.2
F measure
0.8581 ± 0.0561
Per class
Kappa
0.7128 ± 0.113
KB relative information score
0.7083 ± 0.0999
Mean absolute error
0.1437 ± 0.0481
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8582 ± 0.0536
Per class
Predictive accuracy
0.858 ± 0.0558
Prior entropy
0.9912 ± 0.0022
Recall
0.858 ± 0.0558
Per class
Relative absolute error
0.2909 ± 0.0976
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.36 ± 0.0714
Root relative squared error
0.7245 ± 0.1439
SciMark benchmark
1914.93