DEVELOPMENT... OpenML
Run
40502

Run 40502

Task 3665 (Supervised Classification) pyrim 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)_I80
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
0.9216
Per class
Build CPU time
0.0888
Build memory
1455741054.2703
F measure
0.8913
Per class
Kappa
0.7759
KB relative information score
54.5502
Mean absolute error
0.1322
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8921
Per class
Predictive accuracy
0.8919
Prior entropy
0.9819
Recall
0.8919
Per class
Relative absolute error
0.2714
Root mean prior squared error
0.4934
Root mean squared error
0.3077
Root relative squared error
0.6236
SciMark benchmark
946.7854