DEVELOPMENT... OpenML
Run
35844

Run 35844

Task 4456 (Supervised Classification) fri_c0_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
0.9269
Per class
Build CPU time
1.4181
Build memory
383584056.4
F measure
0.8511
Per class
Kappa
0.702
KB relative information score
3502.2112
Mean absolute error
0.15
Mean prior absolute error
0.4997
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
0.8513
Per class
Predictive accuracy
0.8512
Prior entropy
0.9996
Recall
0.8512
Per class
Relative absolute error
0.3001
Root mean prior squared error
0.4999
Root mean squared error
0.366
Root relative squared error
0.7321
SciMark benchmark
944.2618