DEVELOPMENT... OpenML
Run
33600

Run 33600

Task 1934 (Supervised Classification) hepatitis Uploaded 15-10-2014 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_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
0.822
Per class
Build CPU time
0.495
Build memory
1343397982.8336
F measure
0.8
Per class
Kappa
0.3504
KB relative information score
334.8065
Mean absolute error
0.2384
Mean prior absolute error
0.3299
Number of instances
1550
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7971
Per class
Predictive accuracy
0.8174
Prior entropy
0.7418
Recall
0.8174
Per class
Relative absolute error
0.7228
Root mean prior squared error
0.4048
Root mean squared error
0.351
Root relative squared error
0.8673
SciMark benchmark
944.7137