DEVELOPMENT... OpenML
Run
61087

Run 61087

Task 3646 (Supervised Classification) rabe_265 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
0.6825
Per class
Build CPU time
0.0345
Build memory
1983393728.6275
F measure
0.6863
Per class
Kappa
0.3524
KB relative information score
16.3317
Mean absolute error
0.3297
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6863
Per class
Predictive accuracy
0.6863
Prior entropy
0.9791
Recall
0.6863
Per class
Relative absolute error
0.6798
Root mean prior squared error
0.4922
Root mean squared error
0.5251
Root relative squared error
1.0668
SciMark benchmark
942.6348