DEVELOPMENT... OpenML
Run
118162

Run 118162

Task 3646 (Supervised Classification) rabe_265 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
0.6508
Per class
Build CPU time
0.0742
Build memory
221999018.3529
F measure
0.6618
Per class
Kappa
0.2968
KB relative information score
15.7498
Mean absolute error
0.3301
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6616
Per class
Predictive accuracy
0.6667
Prior entropy
0.9791
Recall
0.6667
Per class
Relative absolute error
0.6805
Root mean prior squared error
0.4922
Root mean squared error
0.559
Root relative squared error
1.1359
SciMark benchmark
913.3372