DEVELOPMENT... OpenML
Run
87727

Run 87727

Task 3807 (Supervised Classification) echoMonths Uploaded 03-12-2014 by Felicia West
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Flow

weka.Bagging_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.793
Per class
Build CPU time
0.0752
Build memory
484982076
F measure
0.7715
Per class
Kappa
0.5517
KB relative information score
69.4241
Mean absolute error
0.2362
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.802
Per class
Predictive accuracy
0.7769
Prior entropy
0.9998
Recall
0.7769
Per class
Relative absolute error
0.4724
Root mean prior squared error
0.4999
Root mean squared error
0.4411
Root relative squared error
0.8822
SciMark benchmark
941.7913