DEVELOPMENT... OpenML
Run
62017

Run 62017

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8261
Per class
Build CPU time
0.6688
Build memory
60028420.5299
F measure
0.755
Per class
Kappa
0.5069
KB relative information score
209.021
Mean absolute error
0.2758
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7582
Per class
Predictive accuracy
0.7543
Prior entropy
0.9912
Recall
0.7543
Per class
Relative absolute error
0.5585
Root mean prior squared error
0.4969
Root mean squared error
0.443
Root relative squared error
0.8915
SciMark benchmark
942.728