DEVELOPMENT... OpenML
Run
39923

Run 39923

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)_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
0.8502
Per class
Build CPU time
33.1658
Build memory
1057768203.6518
F measure
0.8553
Per class
Kappa
0.0885
KB relative information score
18193.219
Mean absolute error
0.1083
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
0.8534
Per class
Predictive accuracy
0.8932
Prior entropy
0.4871
Recall
0.8932
Per class
Relative absolute error
0.5726
Root mean prior squared error
0.3074
Root mean squared error
0.3169
Root relative squared error
1.0307
SciMark benchmark
942.4851