DEVELOPMENT... OpenML
Run
38320

Run 38320

Task 4570 (Supervised Classification) ipums_la_98-small 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
0.8486
Per class
Build CPU time
18.0606
Build memory
817876215.0622
F measure
0.8571
Per class
Kappa
0.1073
KB relative information score
16060.6068
Mean absolute error
0.1123
Mean prior absolute error
0.1891
Number of instances
74850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8513
Per class
Predictive accuracy
0.8915
Prior entropy
0.4871
Recall
0.8915
Per class
Relative absolute error
0.594
Root mean prior squared error
0.3074
Root mean squared error
0.3133
Root relative squared error
1.0191
SciMark benchmark
939.9671