DEVELOPMENT... OpenML
Run
39118

Run 39118

Task 4433 (Supervised Classification) sleuth_ex2015 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
0.6068
Per class
Build CPU time
0.059
Build memory
109093252.16
F measure
0.6045
Per class
Kappa
0.2001
KB relative information score
117.0144
Mean absolute error
0.3973
Mean prior absolute error
0.4952
Number of instances
600
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6041
Per class
Predictive accuracy
0.605
Prior entropy
0.9932
Recall
0.605
Per class
Relative absolute error
0.8023
Root mean prior squared error
0.4975
Root mean squared error
0.6221
Root relative squared error
1.2504
SciMark benchmark
941.2105