DEVELOPMENT... OpenML
Run
28662

Run 28662

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 09-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.4913
Per class
Build CPU time
0.1372
Build memory
76750711.3407
F measure
0.5409
Per class
Kappa
-0.0584
KB relative information score
-15.3987
Mean absolute error
0.4362
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4612
Per class
Predictive accuracy
0.6538
Prior entropy
0.901
Recall
0.6538
Per class
Relative absolute error
1.0083
Root mean prior squared error
0.4649
Root mean squared error
0.4778
Root relative squared error
1.0279
SciMark benchmark
939.3497