DEVELOPMENT... OpenML
Run
40682

Run 40682

Task 4475 (Supervised Classification) chscase_census4 Uploaded 29-10-2014 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)_I80
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
0.5112
Per class
Build CPU time
1.1547
Build memory
1324507262.64
F measure
0.5113
Per class
Kappa
0.0215
KB relative information score
83.5723
Mean absolute error
0.4889
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
0.5112
Per class
Predictive accuracy
0.5118
Prior entropy
0.9994
Recall
0.5118
Per class
Relative absolute error
0.9787
Root mean prior squared error
0.4998
Root mean squared error
0.6663
Root relative squared error
1.3332
SciMark benchmark
941.4198