DEVELOPMENT... OpenML
Run
39567

Run 39567

Task 4275 (Supervised Classification) biomed 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
0.9375
Per class
Build CPU time
0.257
Build memory
1113709670.4689
F measure
0.9358
Per class
Kappa
0.8595
KB relative information score
1788.9945
Mean absolute error
0.0636
Mean prior absolute error
0.4605
Number of instances
2090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9366
Per class
Predictive accuracy
0.9364
Prior entropy
0.9428
Recall
0.9364
Per class
Relative absolute error
0.1382
Root mean prior squared error
0.4797
Root mean squared error
0.2503
Root relative squared error
0.5217
SciMark benchmark
942.4851