DEVELOPMENT... OpenML
Run
39316

Run 39316

Task 4475 (Supervised Classification) chscase_census4 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
0.508
Per class
Build CPU time
0.5458
Build memory
778858477.44
F measure
0.5055
Per class
Kappa
0.0099
KB relative information score
47.694
Mean absolute error
0.4937
Mean prior absolute error
0.4996
Number of instances
4000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5054
Per class
Predictive accuracy
0.506
Prior entropy
0.9994
Recall
0.506
Per class
Relative absolute error
0.9882
Root mean prior squared error
0.4998
Root mean squared error
0.6537
Root relative squared error
1.308
SciMark benchmark
944.7154