Run
87472

Run 87472

Task 3681 (Supervised Classification) puma8NH Uploaded 03-12-2014 by Joaquin Vanschoren
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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
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
6.2545
Cross-validation details (10-fold Crossvalidation)
Build memory
763551050.3379
Cross-validation details (10-fold Crossvalidation)
F measure
0.8244
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6489
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5305.9167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1764
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
8192
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8246
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8245
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8245
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3528
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4045
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8089
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.5169