DEVELOPMENT... OpenML
Run
37905

Run 37905

Task 4266 (Supervised Classification) profb 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
0.6568
Per class
Build CPU time
0.3331
Build memory
634786913.9226
F measure
0.6371
Per class
Kappa
0.1594
KB relative information score
1324.9551
Mean absolute error
0.341
Mean prior absolute error
0.4446
Number of instances
6720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6359
Per class
Predictive accuracy
0.6647
Prior entropy
0.9188
Recall
0.6647
Per class
Relative absolute error
0.7671
Root mean prior squared error
0.4714
Root mean squared error
0.5329
Root relative squared error
1.1304
SciMark benchmark
936.9135