DEVELOPMENT... OpenML
Run
44106

Run 44106

Task 284 (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
0.6053
Per class
Build CPU time
0.908
Build memory
1783802008
F measure
0.738
Per class
Kappa
0.2697
KB relative information score
14.9625
Mean absolute error
0.2353
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7384
Per class
Predictive accuracy
0.7647
Prior entropy
0.7418
Recall
0.7647
Per class
Relative absolute error
0.6574
Root mean prior squared error
0.4381
Root mean squared error
0.4851
Root relative squared error
1.1072
SciMark benchmark
941.4198