DEVELOPMENT... OpenML
Run
123092

Run 123092

Task 3696 (Supervised Classification) autoMpg Uploaded 17-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9365
Per class
Build CPU time
30.5032
Build memory
810040276.5226
F measure
0.9196
Per class
Kappa
0.8391
KB relative information score
333.1074
Mean absolute error
0.0814
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
0.9204
Per class
Predictive accuracy
0.9196
Prior entropy
0.9982
Recall
0.9196
Per class
Relative absolute error
0.1632
Root mean prior squared error
0.4994
Root mean squared error
0.2826
Root relative squared error
0.5659
SciMark benchmark
942.7834