DEVELOPMENT... OpenML
Run
44614

Run 44614

Task 4503 (Supervised Classification) fri_c1_250_10 Uploaded 30-10-2014 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
0.9124
Per class
Build CPU time
1.8535
Build memory
1303952683.52
F measure
0.9034
Per class
Kappa
0.8037
KB relative information score
2007.8369
Mean absolute error
0.0964
Mean prior absolute error
0.4929
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9036
Per class
Predictive accuracy
0.9036
Prior entropy
0.9898
Recall
0.9036
Per class
Relative absolute error
0.1955
Root mean prior squared error
0.4964
Root mean squared error
0.3084
Root relative squared error
0.6214
SciMark benchmark
944.7154