DEVELOPMENT... OpenML
Run
64793

Run 64793

Task 3695 (Supervised Classification) fri_c2_250_10 Uploaded 18-11-2014 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)_I160
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
0.7708
Per class
Build CPU time
0.1904
Build memory
1821805766.4
F measure
0.7186
Per class
Kappa
0.3895
KB relative information score
69.4987
Mean absolute error
0.3369
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7176
Per class
Predictive accuracy
0.72
Prior entropy
0.9468
Recall
0.72
Per class
Relative absolute error
0.7272
Root mean prior squared error
0.4812
Root mean squared error
0.4412
Root relative squared error
0.917
SciMark benchmark
939.0518