DEVELOPMENT... OpenML
Run
38729

Run 38729

Task 3856 (Supervised Classification) kdd_ipums_la_97-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
0.9899
Per class
Build CPU time
44.9394
Build memory
94942975.8655
F measure
0.9783
Per class
Kappa
0.9537
KB relative information score
6678.815
Mean absolute error
0.0219
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9793
Per class
Predictive accuracy
0.9782
Prior entropy
0.9504
Recall
0.9782
Per class
Relative absolute error
0.047
Root mean prior squared error
0.4827
Root mean squared error
0.1462
Root relative squared error
0.3028
SciMark benchmark
941.4198