DEVELOPMENT... OpenML
Run
87476

Run 87476

Task 3701 (Supervised Classification) sleuth_case1102 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
0.4281
Per class
Build CPU time
0.0245
Build memory
1120364356.7059
F measure
0.3945
Per class
Kappa
-0.2274
KB relative information score
-2.3564
Mean absolute error
0.5176
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
0.3876
Per class
Predictive accuracy
0.4118
Prior entropy
0.9911
Recall
0.4118
Per class
Relative absolute error
1.049
Root mean prior squared error
0.4965
Root mean squared error
0.579
Root relative squared error
1.1662
SciMark benchmark
936.5169