DEVELOPMENT... OpenML
Run
38230

Run 38230

Task 4324 (Supervised Classification) wisconsin 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)_I20
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
0.5549
Per class
Build CPU time
0.5021
Build memory
774417017.1052
F measure
0.5396
Per class
Kappa
0.0741
KB relative information score
136.8166
Mean absolute error
0.4613
Mean prior absolute error
0.4974
Number of instances
1940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5395
Per class
Predictive accuracy
0.5397
Prior entropy
0.9963
Recall
0.5397
Per class
Relative absolute error
0.9273
Root mean prior squared error
0.4987
Root mean squared error
0.6596
Root relative squared error
1.3226
SciMark benchmark
943.1654

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