DEVELOPMENT... OpenML
Run
39352

Run 39352

Task 4486 (Supervised Classification) fri_c4_250_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)_I40
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
0.8468
Per class
Build CPU time
2.897
Build memory
577116990.96
F measure
0.8011
Per class
Kappa
0.599
KB relative information score
1507.4434
Mean absolute error
0.1964
Mean prior absolute error
0.4968
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8016
Per class
Predictive accuracy
0.8016
Prior entropy
0.9955
Recall
0.8016
Per class
Relative absolute error
0.3954
Root mean prior squared error
0.4984
Root mean squared error
0.4353
Root relative squared error
0.8734
SciMark benchmark
928.3063