DEVELOPMENT... OpenML
Run
35896

Run 35896

Task 3696 (Supervised Classification) autoMpg 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
0.9589
Per class
Build CPU time
0.1255
Build memory
524588931.4774
F measure
0.912
Per class
Kappa
0.8236
KB relative information score
327.2655
Mean absolute error
0.0887
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
0.912
Per class
Predictive accuracy
0.9121
Prior entropy
0.9982
Recall
0.9121
Per class
Relative absolute error
0.1779
Root mean prior squared error
0.4994
Root mean squared error
0.2875
Root relative squared error
0.5758
SciMark benchmark
945.9825