DEVELOPMENT... OpenML
Run
36752

Run 36752

Task 3833 (Supervised Classification) analcatdata_authorship 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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9934
Per class
Build CPU time
2.1847
Build memory
939396691.4816
F measure
0.9833
Per class
Kappa
0.9645
KB relative information score
802.5987
Mean absolute error
0.0218
Mean prior absolute error
0.4698
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9834
Per class
Predictive accuracy
0.9834
Prior entropy
0.9561
Recall
0.9834
Per class
Relative absolute error
0.0465
Root mean prior squared error
0.4846
Root mean squared error
0.1278
Root relative squared error
0.2637
SciMark benchmark
940.9202