DEVELOPMENT... OpenML
Run
38992

Run 38992

Task 54 (Supervised Classification) hepatitis Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7406
Per class
Build CPU time
0.2244
Build memory
1135469703.8452
F measure
0.8065
Per class
Kappa
0.4093
KB relative information score
48.5619
Mean absolute error
0.1927
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
0.8065
Per class
Predictive accuracy
0.8065
Prior entropy
0.7418
Recall
0.8065
Per class
Relative absolute error
0.5842
Root mean prior squared error
0.4048
Root mean squared error
0.4343
Root relative squared error
1.0729
SciMark benchmark
938.4414