DEVELOPMENT... OpenML
Run
44799

Run 44799

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.9235
Per class
Build CPU time
23.8044
Build memory
1746376570.4
F measure
0.9077
Per class
Kappa
0.8087
KB relative information score
402.9154
Mean absolute error
0.0925
Mean prior absolute error
0.4839
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
0.9079
Per class
Predictive accuracy
0.908
Prior entropy
0.9767
Recall
0.908
Per class
Relative absolute error
0.1912
Root mean prior squared error
0.4918
Root mean squared error
0.3013
Root relative squared error
0.6127
SciMark benchmark
945.8425