DEVELOPMENT... OpenML
Run
61093

Run 61093

Task 3913 (Supervised Classification) kc2 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)_I10
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
0.8089
Per class
Build CPU time
0.5972
Build memory
1953848805.7471
F measure
0.8143
Per class
Kappa
0.3891
KB relative information score
216.1091
Mean absolute error
0.1645
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8164
Per class
Predictive accuracy
0.8333
Prior entropy
0.734
Recall
0.8333
Per class
Relative absolute error
0.5037
Root mean prior squared error
0.4037
Root mean squared error
0.3815
Root relative squared error
0.9451
SciMark benchmark
942.6348