DEVELOPMENT... OpenML
Run
44864

Run 44864

Task 3799 (Supervised Classification) fri_c3_500_10 Uploaded 30-10-2014 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
0.9253
Per class
Build CPU time
4.7604
Build memory
1174321128.8
F measure
0.8921
Per class
Kappa
0.7829
KB relative information score
391.5178
Mean absolute error
0.1073
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8927
Per class
Predictive accuracy
0.892
Prior entropy
0.9945
Recall
0.892
Per class
Relative absolute error
0.2162
Root mean prior squared error
0.4981
Root mean squared error
0.3175
Root relative squared error
0.6374
SciMark benchmark
935.2997