DEVELOPMENT... OpenML
Run
118305

Run 118305

Task 3835 (Supervised Classification) squash-stored 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
0.8343
Per class
Build CPU time
0.2999
Build memory
950422045.6923
F measure
0.7308
Per class
Kappa
0.4543
KB relative information score
23.5163
Mean absolute error
0.2685
Mean prior absolute error
0.4936
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7308
Per class
Predictive accuracy
0.7308
Prior entropy
0.9911
Recall
0.7308
Per class
Relative absolute error
0.544
Root mean prior squared error
0.4967
Root mean squared error
0.5155
Root relative squared error
1.0379
SciMark benchmark
916.8516