DEVELOPMENT... OpenML
Run
38636

Run 38636

Task 4619 (Supervised Classification) ar6 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
0.6314
Per class
Build CPU time
0.3345
Build memory
60849915.3188
F measure
0.8363
Per class
Kappa
0.2872
KB relative information score
290.3061
Mean absolute error
0.146
Mean prior absolute error
0.2577
Number of instances
1010
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8317
Per class
Predictive accuracy
0.8574
Prior entropy
0.623
Recall
0.8574
Per class
Relative absolute error
0.5665
Root mean prior squared error
0.3557
Root mean squared error
0.3762
Root relative squared error
1.0576
SciMark benchmark
944.7154