DEVELOPMENT... OpenML
Run
121073

Run 121073

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.5182
Per class
Build CPU time
67.0254
Build memory
1815356494.8352
F measure
0.586
Per class
Kappa
0.0157
KB relative information score
6.3694
Mean absolute error
0.4006
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5748
Per class
Predictive accuracy
0.6044
Prior entropy
0.901
Recall
0.6044
Per class
Relative absolute error
0.9261
Root mean prior squared error
0.4649
Root mean squared error
0.6204
Root relative squared error
1.3346
SciMark benchmark
916.8903