DEVELOPMENT... OpenML
Run
38899

Run 38899

Task 3881 (Supervised Classification) ipums_la_99-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
0.8632
Per class
Build CPU time
37.3405
Build memory
429753828.7028
F measure
0.9167
Per class
Kappa
0.1593
KB relative information score
2127.9937
Mean absolute error
0.064
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9181
Per class
Predictive accuracy
0.9375
Prior entropy
0.3444
Recall
0.9375
Per class
Relative absolute error
0.5324
Root mean prior squared error
0.2452
Root mean squared error
0.2454
Root relative squared error
1.001
SciMark benchmark
945.0342