DEVELOPMENT... OpenML
Run
117632

Run 117632

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.9454
Per class
Build CPU time
1.0923
Build memory
504640699.9487
F measure
0.8762
Per class
Kappa
0.7495
KB relative information score
337.4046
Mean absolute error
0.1397
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
0.8764
Per class
Predictive accuracy
0.8761
Prior entropy
0.9912
Recall
0.8761
Per class
Relative absolute error
0.2828
Root mean prior squared error
0.4969
Root mean squared error
0.3292
Root relative squared error
0.6626
SciMark benchmark
902.712