DEVELOPMENT... OpenML
Run
63174

Run 63174

Task 3784 (Supervised Classification) analcatdata_seropositive 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)_I40
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
0.9632
Per class
Build CPU time
0.1142
Build memory
1813850563.0909
F measure
0.9465
Per class
Kappa
0.8814
KB relative information score
112.1213
Mean absolute error
0.0687
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9472
Per class
Predictive accuracy
0.947
Prior entropy
0.9347
Recall
0.947
Per class
Relative absolute error
0.1511
Root mean prior squared error
0.4765
Root mean squared error
0.2262
Root relative squared error
0.4747
SciMark benchmark
944.3501