Run
65149

Run 65149

Task 1720 (Learning Curve) car Uploaded 20-11-2014 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
0.9862 ± 0.0062
Per class
Build CPU time
0.5816
Build memory
1741401389.5273
F measure
0.9285 ± 0.026
Per class
Kappa
0.844 ± 0.0547
KB relative information score
0.8145 ± 0.0599
Mean absolute error
0.0373 ± 0.0101
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9296 ± 0.0246
Per class
Predictive accuracy
0.9277 ± 0.0258
Prior entropy
1.2058 ± 0.0093
Recall
0.9277 ± 0.0258
Per class
Relative absolute error
0.1631 ± 0.0438
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1743 ± 0.0275
Root relative squared error
0.5155 ± 0.0806
SciMark benchmark
1605.1864