DEVELOPMENT... OpenML
Run
118205

Run 118205

Task 3696 (Supervised Classification) autoMpg Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.954
Per class
Build CPU time
0.888
Build memory
314305823.4774
F measure
0.9146
Per class
Kappa
0.8289
KB relative information score
329.2721
Mean absolute error
0.0862
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
0.9148
Per class
Predictive accuracy
0.9146
Prior entropy
0.9982
Recall
0.9146
Per class
Relative absolute error
0.1729
Root mean prior squared error
0.4994
Root mean squared error
0.2842
Root relative squared error
0.5692
SciMark benchmark
944.4197