DEVELOPMENT... OpenML
Run
38302

Run 38302

Task 4561 (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)_I20
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
0.9911
Per class
Build CPU time
19.8341
Build memory
1362183145.5118
F measure
0.9779
Per class
Kappa
0.9529
KB relative information score
66714.2643
Mean absolute error
0.0224
Mean prior absolute error
0.466
Number of instances
70190
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9788
Per class
Predictive accuracy
0.9778
Prior entropy
0.9504
Recall
0.9778
Per class
Relative absolute error
0.0482
Root mean prior squared error
0.4827
Root mean squared error
0.1471
Root relative squared error
0.3047
SciMark benchmark
931.9798