DEVELOPMENT... OpenML
Run
117836

Run 117836

Task 3831 (Supervised Classification) analcatdata_birthday 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)_I40
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
0.8574
Per class
Build CPU time
2.8019
Build memory
497381310.3781
F measure
0.8919
Per class
Kappa
0.5592
KB relative information score
168.6501
Mean absolute error
0.1078
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8907
Per class
Predictive accuracy
0.8932
Prior entropy
0.6026
Recall
0.8932
Per class
Relative absolute error
0.432
Root mean prior squared error
0.3523
Root mean squared error
0.318
Root relative squared error
0.9027
SciMark benchmark
939.6298