DEVELOPMENT... OpenML
Run
63893

Run 63893

Task 52 (Supervised Classification) heart-statlog Uploaded 17-11-2014 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)_I80
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
0.8679
Per class
Build CPU time
0.2705
Build memory
910178159.2
F measure
0.8255
Per class
Kappa
0.646
KB relative information score
149.1783
Mean absolute error
0.2301
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8257
Per class
Predictive accuracy
0.8259
Prior entropy
0.9912
Recall
0.8259
Per class
Relative absolute error
0.4659
Root mean prior squared error
0.4969
Root mean squared error
0.3813
Root relative squared error
0.7673
SciMark benchmark
943.0515