DEVELOPMENT... OpenML
Run
108826

Run 108826

Task 3854 (Supervised Classification) car Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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
0.9907
Per class
Build CPU time
0.1866
Build memory
327712317.3981
F measure
0.9494
Per class
Kappa
0.8803
KB relative information score
1418.6643
Mean absolute error
0.0781
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9501
Per class
Predictive accuracy
0.9491
Prior entropy
0.8813
Recall
0.9491
Per class
Relative absolute error
0.1859
Root mean prior squared error
0.4582
Root mean squared error
0.1859
Root relative squared error
0.4058
SciMark benchmark
933.442