DEVELOPMENT... OpenML
Run
39319

Run 39319

Task 4476 (Supervised Classification) chscase_census3 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
0.4338
Per class
Build CPU time
0.5137
Build memory
138633829.36
F measure
0.4551
Per class
Kappa
-0.0917
KB relative information score
-359.2376
Mean absolute error
0.5434
Mean prior absolute error
0.4992
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
0.4548
Per class
Predictive accuracy
0.4568
Prior entropy
0.9989
Recall
0.4568
Per class
Relative absolute error
1.0885
Root mean prior squared error
0.4996
Root mean squared error
0.6914
Root relative squared error
1.3839
SciMark benchmark
935.2997