DEVELOPMENT... OpenML
Run
118180

Run 118180

Task 3665 (Supervised Classification) pyrim 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)_I20
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
0.9336
Per class
Build CPU time
0.2684
Build memory
1390971770.7027
F measure
0.9189
Per class
Kappa
0.8335
KB relative information score
61.1073
Mean absolute error
0.084
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9189
Per class
Predictive accuracy
0.9189
Prior entropy
0.9819
Recall
0.9189
Per class
Relative absolute error
0.1724
Root mean prior squared error
0.4934
Root mean squared error
0.2743
Root relative squared error
0.556
SciMark benchmark
923.3659