Run
87867

Run 87867

Task 3575 (Supervised Classification) sleuth_ex2016 Uploaded 03-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_VotedPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_VotedPerceptron(2)_I10
weka.Bagging_VotedPerceptron(2)_P100
weka.Bagging_VotedPerceptron(2)_S1
weka.Bagging_VotedPerceptron(2)_Wweka.classifiers.functions.VotedPerceptron
weka.Bagging_VotedPerceptron(2)_num-slots1
weka.VotedPerceptron(2)_E1.0
weka.VotedPerceptron(2)_I1
weka.VotedPerceptron(2)_M10000
weka.VotedPerceptron(2)_S1

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
0.5888
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0048
Cross-validation details (10-fold Crossvalidation)
Build memory
607012589.7011
Cross-validation details (10-fold Crossvalidation)
F measure
0.4333
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9.5074
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4312
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4855
Cross-validation details (10-fold Crossvalidation)
Number of instances
87
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
0.3436
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5862
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9794
Cross-validation details (10-fold Crossvalidation)
Recall
0.5862
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8882
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5665
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1502
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
904.8754