DEVELOPMENT... OpenML
Run
35960

Run 35960

Task 4474 (Supervised Classification) chscase_census5 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)_I10
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
0.4868
Per class
Build CPU time
0.1381
Build memory
502278334.24
F measure
0.5007
Per class
Kappa
0.0004
KB relative information score
-23.01
Mean absolute error
0.5026
Mean prior absolute error
0.4994
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
0.5008
Per class
Predictive accuracy
0.5023
Prior entropy
0.9991
Recall
0.5023
Per class
Relative absolute error
1.0064
Root mean prior squared error
0.4997
Root mean squared error
0.6336
Root relative squared error
1.2679
SciMark benchmark
940.9202