DEVELOPMENT... OpenML
Run
109059

Run 109059

Task 3763 (Supervised Classification) chscase_census6 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.4101
Per class
Build CPU time
0.1206
Build memory
519110435.2
F measure
0.4374
Per class
Kappa
-0.1062
KB relative information score
-18.8673
Mean absolute error
0.5012
Mean prior absolute error
0.4848
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
0.4223
Per class
Predictive accuracy
0.52
Prior entropy
0.978
Recall
0.52
Per class
Relative absolute error
1.034
Root mean prior squared error
0.4923
Root mean squared error
0.5183
Root relative squared error
1.0528
SciMark benchmark
919.8064