Run
51645

Run 51645

Task 1728 (Learning Curve) credit-approval Uploaded 06-11-2014 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_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.8638 ± 0.069
Per class
Build CPU time
0.0056
Build memory
970238264
F measure
0.8434 ± 0.0558
Per class
Kappa
0.6827 ± 0.1133
KB relative information score
0.6776 ± 0.1117
Mean absolute error
0.1587 ± 0.055
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
0.8433 ± 0.0564
Per class
Predictive accuracy
0.8435 ± 0.055
Prior entropy
0.9912 ± 0.0022
Recall
0.8435 ± 0.055
Per class
Relative absolute error
0.3212 ± 0.1112
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3907 ± 0.0654
Root relative squared error
0.7863 ± 0.1314
SciMark benchmark
1684.583