DEVELOPMENT... OpenML
Run
39894

Run 39894

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)_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
0.9901
Per class
Build CPU time
45.2972
Build memory
832779449.4052
F measure
0.9782
Per class
Kappa
0.9534
KB relative information score
66774.5961
Mean absolute error
0.022
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
0.9791
Per class
Predictive accuracy
0.9781
Prior entropy
0.9504
Recall
0.9781
Per class
Relative absolute error
0.0473
Root mean prior squared error
0.4827
Root mean squared error
0.1466
Root relative squared error
0.3037
SciMark benchmark
945.8425

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