DEVELOPMENT... OpenML
Run
39566

Run 39566

Task 3763 (Supervised Classification) chscase_census6 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
0.4854
Per class
Build CPU time
0.5171
Build memory
1203587504
F measure
0.5232
Per class
Kappa
0.0091
KB relative information score
7.2867
Mean absolute error
0.4705
Mean prior absolute error
0.4848
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5199
Per class
Predictive accuracy
0.5375
Prior entropy
0.978
Recall
0.5375
Per class
Relative absolute error
0.9706
Root mean prior squared error
0.4923
Root mean squared error
0.6387
Root relative squared error
1.2973
SciMark benchmark
942.4851