DEVELOPMENT... OpenML
Run
117577

Run 117577

Task 3501 (Supervised Classification) white-clover 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
0.738
Per class
Build CPU time
1.1639
Build memory
412409588.1905
F measure
0.7119
Per class
Kappa
0.4499
KB relative information score
28.425
Mean absolute error
0.1349
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7097
Per class
Predictive accuracy
0.7302
Prior entropy
1.4097
Recall
0.7302
Per class
Relative absolute error
0.4959
Root mean prior squared error
0.3647
Root mean squared error
0.3629
Root relative squared error
0.9951
SciMark benchmark
920.7965