DEVELOPMENT... OpenML
Run
37622

Run 37622

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.7188
Per class
Build CPU time
0.0227
Build memory
474360120
F measure
0.7491
Per class
Kappa
0.4755
KB relative information score
28.0667
Mean absolute error
0.2514
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7485
Per class
Predictive accuracy
0.75
Prior entropy
0.9728
Recall
0.75
Per class
Relative absolute error
0.5231
Root mean prior squared error
0.4899
Root mean squared error
0.4986
Root relative squared error
1.0178
SciMark benchmark
939.9671