DEVELOPMENT... OpenML
Run
62027

Run 62027

Task 3592 (Supervised Classification) fri_c2_100_5 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
0.6421
Per class
Build CPU time
0.0451
Build memory
2847544655.2
F measure
0.6363
Per class
Kappa
0.2373
KB relative information score
16.9839
Mean absolute error
0.4012
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6347
Per class
Predictive accuracy
0.64
Prior entropy
0.9721
Recall
0.64
Per class
Relative absolute error
0.8351
Root mean prior squared error
0.4899
Root mean squared error
0.5026
Root relative squared error
1.0259
SciMark benchmark
942.3742

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