DEVELOPMENT... OpenML
Run
38015

Run 38015

Task 4543 (Supervised Classification) autos 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
0.9238
Per class
Build CPU time
0.2591
Build memory
423631814.88
F measure
0.9006
Per class
Kappa
0.7724
KB relative information score
1562.8946
Mean absolute error
0.099
Mean prior absolute error
0.4406
Number of instances
2050
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9006
Per class
Predictive accuracy
0.9015
Prior entropy
0.9134
Recall
0.9015
Per class
Relative absolute error
0.2246
Root mean prior squared error
0.4691
Root mean squared error
0.306
Root relative squared error
0.6524
SciMark benchmark
938.0657