DEVELOPMENT... OpenML
Run
123115

Run 123115

Task 3725 (Supervised Classification) auto93 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
0.9554
Per class
Build CPU time
5.1095
Build memory
794712243.4409
F measure
0.9464
Per class
Kappa
0.8861
KB relative information score
81.9118
Mean absolute error
0.0538
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9468
Per class
Predictive accuracy
0.9462
Prior entropy
0.9573
Recall
0.9462
Per class
Relative absolute error
0.1145
Root mean prior squared error
0.4845
Root mean squared error
0.2318
Root relative squared error
0.4785
SciMark benchmark
943.8134