DEVELOPMENT... OpenML
Run
44469

Run 44469

Task 3696 (Supervised Classification) autoMpg Uploaded 29-10-2014 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)_I160
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
0.936
Per class
Build CPU time
1.2775
Build memory
887798322.6734
F measure
0.9297
Per class
Kappa
0.8592
KB relative information score
342.5453
Mean absolute error
0.0694
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9301
Per class
Predictive accuracy
0.9296
Prior entropy
0.9982
Recall
0.9296
Per class
Relative absolute error
0.1391
Root mean prior squared error
0.4994
Root mean squared error
0.262
Root relative squared error
0.5247
SciMark benchmark
946.2416