DEVELOPMENT... OpenML
Run
39281

Run 39281

Task 4468 (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
0.4845
Per class
Build CPU time
0.4371
Build memory
690475814.64
F measure
0.5028
Per class
Kappa
-0.0334
KB relative information score
-13.86
Mean absolute error
0.4798
Mean prior absolute error
0.4848
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
0.4983
Per class
Predictive accuracy
0.5175
Prior entropy
0.978
Recall
0.5175
Per class
Relative absolute error
0.9897
Root mean prior squared error
0.4923
Root mean squared error
0.6485
Root relative squared error
1.3173
SciMark benchmark
945.8914