DEVELOPMENT... OpenML
Run
62238

Run 62238

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 16-11-2014 by Felicia West
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Flow

weka.MultiBoostAB_SPegasos(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4
weka.MultiBoostAB_SPegasos(2)_C3
weka.MultiBoostAB_SPegasos(2)_P100
weka.MultiBoostAB_SPegasos(2)_S1
weka.MultiBoostAB_SPegasos(2)_I20
weka.MultiBoostAB_SPegasos(2)_Wweka.classifiers.functions.SPegasos

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
0.6471
Per class
Build CPU time
0.4469
Build memory
2289818593.9946
F measure
0.6097
Per class
Kappa
0.2084
KB relative information score
70.8429
Mean absolute error
0.4021
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6095
Per class
Predictive accuracy
0.6125
Prior entropy
0.992
Recall
0.6125
Per class
Relative absolute error
0.8132
Root mean prior squared error
0.4972
Root mean squared error
0.5349
Root relative squared error
1.0758
SciMark benchmark
938.259

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