DEVELOPMENT... OpenML
Run
62263

Run 62263

Task 3654 (Supervised Classification) fri_c1_100_10 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
0.6359
Per class
Build CPU time
0.074
Build memory
2132737744.8
F measure
0.5604
Per class
Kappa
0.1189
KB relative information score
17.2088
Mean absolute error
0.4128
Mean prior absolute error
0.4982
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
0.5612
Per class
Predictive accuracy
0.56
Prior entropy
0.9975
Recall
0.56
Per class
Relative absolute error
0.8285
Root mean prior squared error
0.4991
Root mean squared error
0.5546
Root relative squared error
1.1111
SciMark benchmark
942.9616

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