DEVELOPMENT... OpenML
Run
10141

Run 10141

Task 54 (Supervised Classification) hepatitis Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I100
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8366
Per class
F measure
0.7902
Per class
Kappa
0.3038
KB relative information score
27.8588
Mean absolute error
0.256
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7968
Per class
Predictive accuracy
0.8194
Prior entropy
0.7418
Recall
0.8194
Per class
Relative absolute error
0.7761
Root mean prior squared error
0.4048
Root mean squared error
0.3503
Root relative squared error
0.8655
SciMark benchmark
921.6996[560.66879002876651015.2555353338006483.88543266528814905.19339878208931643.4948566255061]