DEVELOPMENT... OpenML
Run
62338

Run 62338

Task 3701 (Supervised Classification) sleuth_case1102 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
0.5825
Per class
Build CPU time
0.0249
Build memory
87178609.1765
F measure
0.5762
Per class
Kappa
0.1408
KB relative information score
4.7459
Mean absolute error
0.4241
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5808
Per class
Predictive accuracy
0.5882
Prior entropy
0.9911
Recall
0.5882
Per class
Relative absolute error
0.8594
Root mean prior squared error
0.4965
Root mean squared error
0.5863
Root relative squared error
1.1808
SciMark benchmark
942.728