Run
60054

Run 60054

Task 1752 (Learning Curve) vehicle Uploaded 16-11-2014 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_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.9151 ± 0.0201
Per class
Build CPU time
0.2517
Build memory
2132948275.0222
F measure
0.7326 ± 0.0546
Per class
Kappa
0.6502 ± 0.0717
KB relative information score
0.6845 ± 0.0519
Mean absolute error
0.1333 ± 0.0207
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7293 ± 0.0567
Per class
Predictive accuracy
0.7376 ± 0.0537
Prior entropy
1.9991 ± 0.0005
Recall
0.7376 ± 0.0537
Per class
Relative absolute error
0.3557 ± 0.0552
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.337 ± 0.0321
Root relative squared error
0.7783 ± 0.0742
SciMark benchmark
1091.0812