DEVELOPMENT... OpenML
Run
40275

Run 40275

Task 3865 (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)_I80
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
0.8516
Per class
Build CPU time
66.9278
Build memory
1344603141.5161
F measure
0.8578
Per class
Kappa
0.117
KB relative information score
1592.4553
Mean absolute error
0.1122
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8503
Per class
Predictive accuracy
0.8903
Prior entropy
0.4871
Recall
0.8903
Per class
Relative absolute error
0.5935
Root mean prior squared error
0.3074
Root mean squared error
0.315
Root relative squared error
1.0246
SciMark benchmark
942.4851