DEVELOPMENT... OpenML
Run
124403

Run 124403

Task 3905 (Supervised Classification) mc2 Uploaded 23-12-2014 by Felicia West
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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
0.6464
Per class
Build CPU time
6.9466
Build memory
277657906.7329
F measure
0.6234
Per class
Kappa
0.1223
KB relative information score
20.172
Mean absolute error
0.3603
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6171
Per class
Predictive accuracy
0.6335
Prior entropy
0.9099
Recall
0.6335
Per class
Relative absolute error
0.8225
Root mean prior squared error
0.4676
Root mean squared error
0.5289
Root relative squared error
1.131
SciMark benchmark
946.4503