DEVELOPMENT... OpenML
Run
39729

Run 39729

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)_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
0.904
Per class
Build CPU time
118.352
Build memory
1199647411.5068
F measure
0.8402
Per class
Kappa
0.5436
KB relative information score
258334.7627
Mean absolute error
0.1529
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
0.8408
Per class
Predictive accuracy
0.8484
Prior entropy
0.7939
Recall
0.8484
Per class
Relative absolute error
0.4199
Root mean prior squared error
0.4266
Root mean squared error
0.3676
Root relative squared error
0.8616
SciMark benchmark
941.9633