DEVELOPMENT... OpenML
Run
40978

Run 40978

Task 3783 (Supervised Classification) fri_c2_500_50 Uploaded 29-10-2014 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
0.9305
Per class
Build CPU time
9.3875
Build memory
814361381.6
F measure
0.9078
Per class
Kappa
0.809
KB relative information score
404.4935
Mean absolute error
0.0908
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9078
Per class
Predictive accuracy
0.908
Prior entropy
0.9767
Recall
0.908
Per class
Relative absolute error
0.1877
Root mean prior squared error
0.4918
Root mean squared error
0.2966
Root relative squared error
0.603
SciMark benchmark
934.1739