DEVELOPMENT... OpenML
Run
38010

Run 38010

Task 4285 (Supervised Classification) fruitfly 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
0.4444
Per class
Build CPU time
0.0279
Build memory
317127718.176
F measure
0.4841
Per class
Kappa
-0.0951
KB relative information score
-80.3394
Mean absolute error
0.4973
Mean prior absolute error
0.477
Number of instances
1250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4762
Per class
Predictive accuracy
0.4992
Prior entropy
0.9671
Recall
0.4992
Per class
Relative absolute error
1.0426
Root mean prior squared error
0.4882
Root mean squared error
0.6762
Root relative squared error
1.3852
SciMark benchmark
938.0657