DEVELOPMENT... OpenML
Run
62161

Run 62161

Task 3874 (Supervised Classification) ecoli 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
0.9714
Per class
Build CPU time
0.2663
Build memory
38063767.4524
F measure
0.9613
Per class
Kappa
0.9209
KB relative information score
305.536
Mean absolute error
0.0456
Mean prior absolute error
0.489
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9614
Per class
Predictive accuracy
0.9613
Prior entropy
0.9842
Recall
0.9613
Per class
Relative absolute error
0.0933
Root mean prior squared error
0.4944
Root mean squared error
0.1924
Root relative squared error
0.3891
SciMark benchmark
942.728