DEVELOPMENT... OpenML
Run
124101

Run 124101

Task 3561 (Supervised Classification) profb Uploaded 22-12-2014 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
0.6173
Per class
Build CPU time
20.6169
Build memory
36672016.2857
F measure
0.6226
Per class
Kappa
0.1433
KB relative information score
67.7796
Mean absolute error
0.3823
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6195
Per class
Predictive accuracy
0.6265
Prior entropy
0.9188
Recall
0.6265
Per class
Relative absolute error
0.8598
Root mean prior squared error
0.4714
Root mean squared error
0.5375
Root relative squared error
1.1401
SciMark benchmark
923.9118