DEVELOPMENT... OpenML
Run
118629

Run 118629

Task 3561 (Supervised Classification) profb 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
0.6322
Per class
Build CPU time
2.2183
Build memory
1039916343.2381
F measure
0.6305
Per class
Kappa
0.1509
KB relative information score
67.8771
Mean absolute error
0.388
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6246
Per class
Predictive accuracy
0.6429
Prior entropy
0.9188
Recall
0.6429
Per class
Relative absolute error
0.8727
Root mean prior squared error
0.4714
Root mean squared error
0.4872
Root relative squared error
1.0335
SciMark benchmark
916.8516