DEVELOPMENT... OpenML
Run
118387

Run 118387

Task 4 (Supervised Classification) labor 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
0.9365
Per class
Build CPU time
0.0511
Build memory
271979738.1053
F measure
0.8958
Per class
Kappa
0.7741
KB relative information score
42.5265
Mean absolute error
0.1118
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8991
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.2447
Root mean prior squared error
0.4773
Root mean squared error
0.3214
Root relative squared error
0.6734
SciMark benchmark
942.3919