DEVELOPMENT... OpenML
Run
38118

Run 38118

Task 3799 (Supervised Classification) fri_c3_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)_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
0.9552
Per class
Build CPU time
0.5515
Build memory
610067003.2
F measure
0.8876
Per class
Kappa
0.7731
KB relative information score
388.7369
Mean absolute error
0.1098
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8887
Per class
Predictive accuracy
0.888
Prior entropy
0.9945
Recall
0.888
Per class
Relative absolute error
0.2213
Root mean prior squared error
0.4981
Root mean squared error
0.3171
Root relative squared error
0.6367
SciMark benchmark
943.1654