DEVELOPMENT... OpenML
Run
44013

Run 44013

Task 4365 (Supervised Classification) disclosure_x_tampered Uploaded 29-10-2014 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)_I160
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
0.5038
Per class
Build CPU time
1.6423
Build memory
2250174061.2399
F measure
0.5043
Per class
Kappa
0.0086
KB relative information score
39.4537
Mean absolute error
0.4972
Mean prior absolute error
0.4999
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
0.5044
Per class
Predictive accuracy
0.5047
Prior entropy
0.9999
Recall
0.5047
Per class
Relative absolute error
0.9945
Root mean prior squared error
0.5
Root mean squared error
0.6522
Root relative squared error
1.3045
SciMark benchmark
946.2416