DEVELOPMENT... OpenML
Run
40464

Run 40464

Task 4424 (Supervised Classification) fishcatch 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
0.9913
Per class
Build CPU time
0.0065
Build memory
1177612823.5949
F measure
0.9641
Per class
Kappa
0.9256
KB relative information score
1396.2091
Mean absolute error
0.0606
Mean prior absolute error
0.4797
Number of instances
1580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9656
Per class
Predictive accuracy
0.9639
Prior entropy
0.971
Recall
0.9639
Per class
Relative absolute error
0.1264
Root mean prior squared error
0.4896
Root mean squared error
0.1694
Root relative squared error
0.3459
SciMark benchmark
938.2803