DEVELOPMENT... OpenML
Run
36312

Run 36312

Task 3784 (Supervised Classification) analcatdata_seropositive 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)_I10
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
0.9956
Per class
Build CPU time
0.0178
Build memory
2638477388
F measure
0.9545
Per class
Kappa
0.8999
KB relative information score
118.8642
Mean absolute error
0.0425
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9545
Per class
Predictive accuracy
0.9545
Prior entropy
0.9347
Recall
0.9545
Per class
Relative absolute error
0.0934
Root mean prior squared error
0.4765
Root mean squared error
0.1797
Root relative squared error
0.3772
SciMark benchmark
944.2629