DEVELOPMENT... OpenML
Run
38775

Run 38775

Task 284 (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
0.6265
Per class
Build CPU time
0.124
Build memory
300008272
F measure
0.7226
Per class
Kappa
0.2318
KB relative information score
11.5274
Mean absolute error
0.2544
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
0.7166
Per class
Predictive accuracy
0.7451
Prior entropy
0.7418
Recall
0.7451
Per class
Relative absolute error
0.7106
Root mean prior squared error
0.4381
Root mean squared error
0.5032
Root relative squared error
1.1486
SciMark benchmark
944.2618