DEVELOPMENT... OpenML
Run
116708

Run 116708

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9192
Per class
Build CPU time
3.948
Build memory
1612508563.2
F measure
0.9059
Per class
Kappa
0.8107
KB relative information score
404.3325
Mean absolute error
0.0953
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9063
Per class
Predictive accuracy
0.906
Prior entropy
0.9967
Recall
0.906
Per class
Relative absolute error
0.1916
Root mean prior squared error
0.4988
Root mean squared error
0.3029
Root relative squared error
0.6072
SciMark benchmark
914.1182