DEVELOPMENT... OpenML
Run
36393

Run 36393

Task 3800 (Supervised Classification) fri_c3_500_50 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
0.9304
Per class
Build CPU time
1.2728
Build memory
1225529232.8
F measure
0.8718
Per class
Kappa
0.7389
KB relative information score
363.7495
Mean absolute error
0.134
Mean prior absolute error
0.4918
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
0.8718
Per class
Predictive accuracy
0.872
Prior entropy
0.9882
Recall
0.872
Per class
Relative absolute error
0.2725
Root mean prior squared error
0.4959
Root mean squared error
0.3424
Root relative squared error
0.6905
SciMark benchmark
909.9339