DEVELOPMENT... OpenML
Run
118906

Run 118906

Task 3898 (Supervised Classification) kc1-top5 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
0.7272
Per class
Build CPU time
0.8465
Build memory
558837930.2621
F measure
0.9311
Per class
Kappa
0.277
KB relative information score
28.7807
Mean absolute error
0.0606
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9264
Per class
Predictive accuracy
0.9379
Prior entropy
0.3323
Recall
0.9379
Per class
Relative absolute error
0.5525
Root mean prior squared error
0.2284
Root mean squared error
0.2437
Root relative squared error
1.0669
SciMark benchmark
944.4197

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