DEVELOPMENT... OpenML
Run
124020

Run 124020

Task 273 (Supervised Classification) spambase Uploaded 22-12-2014 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
0.9643
Per class
Build CPU time
4333.479
Build memory
1296326768
F measure
0.9058
Per class
Kappa
0.8008
KB relative information score
1088.3138
Mean absolute error
0.142
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9064
Per class
Predictive accuracy
0.9065
Prior entropy
0.9674
Recall
0.9065
Per class
Relative absolute error
0.2981
Root mean prior squared error
0.4875
Root mean squared error
0.2629
Root relative squared error
0.5394
SciMark benchmark
940.3132