DEVELOPMENT... OpenML
Run
116592

Run 116592

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 09-12-2014 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)_I160
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
0.9342
Per class
Build CPU time
3.6332
Build memory
950993190.3932
F measure
0.8588
Per class
Kappa
0.7139
KB relative information score
332.9708
Mean absolute error
0.1418
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8588
Per class
Predictive accuracy
0.859
Prior entropy
0.9912
Recall
0.859
Per class
Relative absolute error
0.2871
Root mean prior squared error
0.4969
Root mean squared error
0.3583
Root relative squared error
0.721
SciMark benchmark
937.9603