DEVELOPMENT... OpenML
Run
35662

Run 35662

Task 4425 (Supervised Classification) fri_c4_500_10 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
0.9488
Per class
Build CPU time
0.2826
Build memory
393186847.36
F measure
0.8749
Per class
Kappa
0.7469
KB relative information score
3716.0174
Mean absolute error
0.1269
Mean prior absolute error
0.4946
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8749
Per class
Predictive accuracy
0.875
Prior entropy
0.9922
Recall
0.875
Per class
Relative absolute error
0.2565
Root mean prior squared error
0.4973
Root mean squared error
0.3322
Root relative squared error
0.668
SciMark benchmark
942.0655