DEVELOPMENT... OpenML
Run
118754

Run 118754

Task 3707 (Supervised Classification) analcatdata_runshoes Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7234
Per class
Build CPU time
0.0447
Build memory
1041148676
F measure
0.6858
Per class
Kappa
0.3537
KB relative information score
20.1554
Mean absolute error
0.3131
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
0.6916
Per class
Predictive accuracy
0.6833
Prior entropy
0.9728
Recall
0.6833
Per class
Relative absolute error
0.6515
Root mean prior squared error
0.4899
Root mean squared error
0.5449
Root relative squared error
1.1122
SciMark benchmark
923.3659

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