DEVELOPMENT... OpenML
Run
62304

Run 62304

Task 3672 (Supervised Classification) kin8nm 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
0.7754
Per class
Build CPU time
2.6825
Build memory
2350990159.8594
F measure
0.732
Per class
Kappa
0.4638
KB relative information score
2790.176
Mean absolute error
0.3449
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.732
Per class
Predictive accuracy
0.7321
Prior entropy
0.9998
Recall
0.7321
Per class
Relative absolute error
0.69
Root mean prior squared error
0.4999
Root mean squared error
0.4416
Root relative squared error
0.8833
SciMark benchmark
938.259