DEVELOPMENT... OpenML
Run
38633

Run 38633

Task 4362 (Supervised Classification) fri_c2_500_5 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
0.9487
Per class
Build CPU time
0.6286
Build memory
703549781.6
F measure
0.9185
Per class
Kappa
0.8304
KB relative information score
4141.0899
Mean absolute error
0.0813
Mean prior absolute error
0.4816
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
0.9187
Per class
Predictive accuracy
0.9188
Prior entropy
0.9735
Recall
0.9188
Per class
Relative absolute error
0.1689
Root mean prior squared error
0.4907
Root mean squared error
0.279
Root relative squared error
0.5686
SciMark benchmark
939.9671