DEVELOPMENT... OpenML
Run
35678

Run 35678

Task 3660 (Supervised Classification) disclosure_x_tampered 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)_I10
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
0.5081
Per class
Build CPU time
0.189
Build memory
25319877.8852
F measure
0.5195
Per class
Kappa
0.0434
KB relative information score
11.6859
Mean absolute error
0.4926
Mean prior absolute error
0.4999
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5223
Per class
Predictive accuracy
0.5227
Prior entropy
0.9999
Recall
0.5227
Per class
Relative absolute error
0.9854
Root mean prior squared error
0.5
Root mean squared error
0.5962
Root relative squared error
1.1926
SciMark benchmark
943.404