DEVELOPMENT... OpenML
Run
119836

Run 119836

Task 3707 (Supervised Classification) analcatdata_runshoes Uploaded 10-12-2014 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)_I10
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
0.7101
Per class
Build CPU time
0.3048
Build memory
109942651.2
F measure
0.6009
Per class
Kappa
0.1606
KB relative information score
13.3567
Mean absolute error
0.3666
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6025
Per class
Predictive accuracy
0.6167
Prior entropy
0.9728
Recall
0.6167
Per class
Relative absolute error
0.7627
Root mean prior squared error
0.4899
Root mean squared error
0.5768
Root relative squared error
1.1774
SciMark benchmark
942.5053