DEVELOPMENT... OpenML
Run
62335

Run 62335

Task 3696 (Supervised Classification) autoMpg 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
0.9509
Per class
Build CPU time
0.8461
Build memory
81304322.3317
F measure
0.9196
Per class
Kappa
0.839
KB relative information score
333.1959
Mean absolute error
0.0814
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9201
Per class
Predictive accuracy
0.9196
Prior entropy
0.9982
Recall
0.9196
Per class
Relative absolute error
0.1632
Root mean prior squared error
0.4994
Root mean squared error
0.2779
Root relative squared error
0.5566
SciMark benchmark
942.728