DEVELOPMENT... OpenML
Run
44248

Run 44248

Task 54 (Supervised Classification) hepatitis Uploaded 29-10-2014 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)_I160
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
0.7448
Per class
Build CPU time
0.8092
Build memory
1353156798.0387
F measure
0.8268
Per class
Kappa
0.4744
KB relative information score
59.4897
Mean absolute error
0.1734
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
0.8279
Per class
Predictive accuracy
0.8258
Prior entropy
0.7418
Recall
0.8258
Per class
Relative absolute error
0.5256
Root mean prior squared error
0.4048
Root mean squared error
0.4155
Root relative squared error
1.0264
SciMark benchmark
942.9632