DEVELOPMENT... OpenML
Run
39970

Run 39970

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)_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
0.5235
Per class
Build CPU time
0.5491
Build memory
1212493840.2949
F measure
0.5162
Per class
Kappa
0.0303
KB relative information score
200.3095
Mean absolute error
0.4838
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
0.5161
Per class
Predictive accuracy
0.5174
Prior entropy
0.9987
Recall
0.5174
Per class
Relative absolute error
0.9694
Root mean prior squared error
0.4996
Root mean squared error
0.6168
Root relative squared error
1.2348
SciMark benchmark
942.4851