DEVELOPMENT... OpenML
Run
39293

Run 39293

Task 4470 (Supervised Classification) sleuth_case2002 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
0.6495
Per class
Build CPU time
0.0734
Build memory
1204545858.8136
F measure
0.6013
Per class
Kappa
0.1993
KB relative information score
297.8166
Mean absolute error
0.3964
Mean prior absolute error
0.4982
Number of instances
1470
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6012
Per class
Predictive accuracy
0.6014
Prior entropy
0.9974
Recall
0.6014
Per class
Relative absolute error
0.7958
Root mean prior squared error
0.4991
Root mean squared error
0.6114
Root relative squared error
1.2251
SciMark benchmark
941.9633