DEVELOPMENT... OpenML
Run
38458

Run 38458

Task 4345 (Supervised Classification) disclosure_x_bias 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
0.5241
Per class
Build CPU time
0.2426
Build memory
600028309.7825
F measure
0.5197
Per class
Kappa
0.0375
KB relative information score
231.1736
Mean absolute error
0.4819
Mean prior absolute error
0.4991
Number of instances
6620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5197
Per class
Predictive accuracy
0.5211
Prior entropy
0.9987
Recall
0.5211
Per class
Relative absolute error
0.9655
Root mean prior squared error
0.4996
Root mean squared error
0.6033
Root relative squared error
1.2076
SciMark benchmark
944.2618