DEVELOPMENT... OpenML
Run
37952

Run 37952

Task 3761 (Supervised Classification) hip 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)_I20
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
0.8324
Per class
Build CPU time
0.0123
Build memory
1501510876.7407
F measure
0.8332
Per class
Kappa
0.6658
KB relative information score
29.9714
Mean absolute error
0.2323
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8336
Per class
Predictive accuracy
0.8333
Prior entropy
0.9991
Recall
0.8333
Per class
Relative absolute error
0.4651
Root mean prior squared error
0.4997
Root mean squared error
0.4029
Root relative squared error
0.8063
SciMark benchmark
939.9671