DEVELOPMENT... OpenML
Run
36383

Run 36383

Task 4565 (Supervised Classification) balance-scale 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
0.9887
Per class
Build CPU time
0.1294
Build memory
93358638.5818
F measure
0.9342
Per class
Kappa
0.8674
KB relative information score
5425.4406
Mean absolute error
0.0656
Mean prior absolute error
0.4969
Number of instances
6250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9343
Per class
Predictive accuracy
0.9342
Prior entropy
0.9956
Recall
0.9342
Per class
Relative absolute error
0.1319
Root mean prior squared error
0.4985
Root mean squared error
0.2308
Root relative squared error
0.4631
SciMark benchmark
945.0342