DEVELOPMENT... OpenML
Run
117735

Run 117735

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)_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
0.7338
Per class
Build CPU time
0.2
Build memory
220628555.2
F measure
0.7
Per class
Kappa
0.375
KB relative information score
21.3661
Mean absolute error
0.3042
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
0.7
Per class
Predictive accuracy
0.7
Prior entropy
0.9728
Recall
0.7
Per class
Relative absolute error
0.6329
Root mean prior squared error
0.4899
Root mean squared error
0.5421
Root relative squared error
1.1066
SciMark benchmark
924.2473