DEVELOPMENT... OpenML
Run
39376

Run 39376

Task 1934 (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
0.7636
Per class
Build CPU time
0.2059
Build memory
1070736450.4258
F measure
0.8267
Per class
Kappa
0.4591
KB relative information score
626.2264
Mean absolute error
0.1674
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
0.8238
Per class
Predictive accuracy
0.831
Prior entropy
0.7418
Recall
0.831
Per class
Relative absolute error
0.5074
Root mean prior squared error
0.4048
Root mean squared error
0.4047
Root relative squared error
0.9997
SciMark benchmark
940.0668