DEVELOPMENT... OpenML
Run
118256

Run 118256

Task 3770 (Supervised Classification) chscase_census4 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
0.5209
Per class
Build CPU time
0.495
Build memory
1055244501.6
F measure
0.5275
Per class
Kappa
0.0543
KB relative information score
13.5462
Mean absolute error
0.4843
Mean prior absolute error
0.4996
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5276
Per class
Predictive accuracy
0.5275
Prior entropy
0.9994
Recall
0.5275
Per class
Relative absolute error
0.9695
Root mean prior squared error
0.4998
Root mean squared error
0.5935
Root relative squared error
1.1875
SciMark benchmark
874.7324