DEVELOPMENT... OpenML
Run
44363

Run 44363

Task 4437 (Supervised Classification) fri_c4_100_25 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)_I160
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
0.8011
Per class
Build CPU time
0.6016
Build memory
276202306.08
F measure
0.748
Per class
Kappa
0.4928
KB relative information score
458.6839
Mean absolute error
0.2731
Mean prior absolute error
0.4969
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.748
Per class
Predictive accuracy
0.748
Prior entropy
0.9956
Recall
0.748
Per class
Relative absolute error
0.5497
Root mean prior squared error
0.4984
Root mean squared error
0.4411
Root relative squared error
0.8851
SciMark benchmark
944.0386