DEVELOPMENT... OpenML
Run
38091

Run 38091

Task 2936 (Supervised Classification) adult 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)_I20
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
0.8997
Per class
Build CPU time
78.4615
Build memory
996076504.4755
F measure
0.8422
Per class
Kappa
0.5519
KB relative information score
254862.2147
Mean absolute error
0.156
Mean prior absolute error
0.3641
Number of instances
488420
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8416
Per class
Predictive accuracy
0.8488
Prior entropy
0.7939
Recall
0.8488
Per class
Relative absolute error
0.4285
Root mean prior squared error
0.4266
Root mean squared error
0.3596
Root relative squared error
0.8428
SciMark benchmark
942.4851