DEVELOPMENT... OpenML
Run
38896

Run 38896

Task 4394 (Supervised Classification) fri_c1_500_10 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
0.9499
Per class
Build CPU time
1.0288
Build memory
87118817.28
F measure
0.9159
Per class
Kappa
0.8302
KB relative information score
4140.2932
Mean absolute error
0.0848
Mean prior absolute error
0.4954
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.916
Per class
Predictive accuracy
0.916
Prior entropy
0.9934
Recall
0.916
Per class
Relative absolute error
0.1712
Root mean prior squared error
0.4977
Root mean squared error
0.2826
Root relative squared error
0.5679
SciMark benchmark
939.6491

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