DEVELOPMENT... OpenML
Run
116549

Run 116549

Task 3542 (Supervised Classification) analcatdata_lawsuit Uploaded 09-12-2014 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)_I160
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
0.9392
Per class
Build CPU time
1.1
Build memory
712028307.9091
F measure
0.9778
Per class
Kappa
0.8377
KB relative information score
196.0691
Mean absolute error
0.0227
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9787
Per class
Predictive accuracy
0.9773
Prior entropy
0.385
Recall
0.9773
Per class
Relative absolute error
0.1667
Root mean prior squared error
0.2585
Root mean squared error
0.1508
Root relative squared error
0.5833
SciMark benchmark
924.2473