DEVELOPMENT... OpenML
Run
122876

Run 122876

Task 1785 (Supervised Classification) car Uploaded 16-12-2014 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
0.9693
Per class
Build CPU time
15.2611
Build memory
714902100.8
F measure
0.8676
Per class
Kappa
0.7114
KB relative information score
5649.7247
Mean absolute error
0.0865
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8699
Per class
Predictive accuracy
0.8748
Prior entropy
1.2099
Recall
0.8748
Per class
Relative absolute error
0.3776
Root mean prior squared error
0.3381
Root mean squared error
0.2057
Root relative squared error
0.6084
SciMark benchmark
939.0159