DEVELOPMENT... OpenML
Run
35689

Run 35689

Task 4429 (Supervised Classification) vinnie 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
0.9072
Per class
Build CPU time
0.0454
Build memory
63902168.32
F measure
0.8341
Per class
Kappa
0.6689
KB relative information score
2540.1127
Mean absolute error
0.1659
Mean prior absolute error
0.4997
Number of instances
3800
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.837
Per class
Predictive accuracy
0.8342
Prior entropy
0.9995
Recall
0.8342
Per class
Relative absolute error
0.3321
Root mean prior squared error
0.4998
Root mean squared error
0.3848
Root relative squared error
0.7699
SciMark benchmark
943.404