DEVELOPMENT... OpenML
Run
118581

Run 118581

Task 3059 (Supervised Classification) pasture 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)_I10
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
0.9065
Per class
Build CPU time
0.097
Build memory
53381184
F measure
0.8292
Per class
Kappa
0.6986
KB relative information score
8.5978
Mean absolute error
0.1026
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8636
Per class
Predictive accuracy
0.8182
Prior entropy
1.585
Recall
0.8182
Per class
Relative absolute error
0.2309
Root mean prior squared error
0.4714
Root mean squared error
0.2988
Root relative squared error
0.6338
SciMark benchmark
923.9118