DEVELOPMENT... OpenML
Run
124338

Run 124338

Task 3831 (Supervised Classification) analcatdata_birthday Uploaded 23-12-2014 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)_I20
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
0.8917
Per class
Build CPU time
3.5584
Build memory
30943743.1014
F measure
0.8752
Per class
Kappa
0.4716
KB relative information score
151.9926
Mean absolute error
0.1168
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8719
Per class
Predictive accuracy
0.8822
Prior entropy
0.6026
Recall
0.8822
Per class
Relative absolute error
0.4677
Root mean prior squared error
0.3523
Root mean squared error
0.3249
Root relative squared error
0.9221
SciMark benchmark
939.521