DEVELOPMENT... OpenML
Run
45039

Run 45039

Task 4586 (Supervised Classification) ipums_la_99-small Uploaded 30-10-2014 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)_I160
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
0.8515
Per class
Build CPU time
158.7029
Build memory
153361376.3099
F measure
0.9161
Per class
Kappa
0.1579
KB relative information score
21545.996
Mean absolute error
0.064
Mean prior absolute error
0.1203
Number of instances
88440
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9148
Per class
Predictive accuracy
0.9363
Prior entropy
0.3444
Recall
0.9363
Per class
Relative absolute error
0.5323
Root mean prior squared error
0.2452
Root mean squared error
0.2456
Root relative squared error
1.002
SciMark benchmark
909.9339