Run
33243

Run 33243

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 14-10-2014 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_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(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
0.828
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.981
Cross-validation details (33% Holdout set)
Build memory
74491784
Cross-validation details (33% Holdout set)
F measure
0.8438
Per class
Cross-validation details (33% Holdout set)
Kappa
0.64
Cross-validation details (33% Holdout set)
KB relative information score
3.8408
Cross-validation details (33% Holdout set)
Mean absolute error
0.1774
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.825
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.875
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.875
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7886
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.2785
Cross-validation details (33% Holdout set)
Root relative squared error
0.9
Cross-validation details (33% Holdout set)
SciMark benchmark
932.444