DEVELOPMENT... OpenML
Run
64788

Run 64788

Task 3862 (Supervised Classification) audiology Uploaded 18-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9383
Per class
Build CPU time
11.9696
Build memory
1085813436.708
F measure
0.9598
Per class
Kappa
0.8926
KB relative information score
198.6852
Mean absolute error
0.0398
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9599
Per class
Predictive accuracy
0.9602
Prior entropy
0.8182
Recall
0.9602
Per class
Relative absolute error
0.1053
Root mean prior squared error
0.4343
Root mean squared error
0.1996
Root relative squared error
0.4595
SciMark benchmark
939.0518