DEVELOPMENT... OpenML
Run
118749

Run 118749

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)_I10
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
0.9564
Per class
Build CPU time
0.5214
Build memory
582229834.7136
F measure
0.8994
Per class
Kappa
0.7983
KB relative information score
314.7343
Mean absolute error
0.1048
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
0.8996
Per class
Predictive accuracy
0.8995
Prior entropy
0.9982
Recall
0.8995
Per class
Relative absolute error
0.2101
Root mean prior squared error
0.4994
Root mean squared error
0.3058
Root relative squared error
0.6125
SciMark benchmark
937.6343