DEVELOPMENT... OpenML
Run
36186

Run 36186

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)_I10
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
0.6508
Per class
Build CPU time
0.1727
Build memory
428143839.775
F measure
0.6277
Per class
Kappa
0.1385
KB relative information score
1314.2948
Mean absolute error
0.3421
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
0.6314
Per class
Predictive accuracy
0.6655
Prior entropy
0.9188
Recall
0.6655
Per class
Relative absolute error
0.7693
Root mean prior squared error
0.4714
Root mean squared error
0.5297
Root relative squared error
1.1238
SciMark benchmark
944.0386