DEVELOPMENT... OpenML
Run
95523

Run 95523

Task 3771 (Supervised Classification) chscase_census3 Uploaded 08-12-2014 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)_I10
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
0.4742
Per class
Build CPU time
0.0172
Build memory
622530179.2
F measure
0.4813
Per class
Kappa
-0.0394
KB relative information score
-4.5372
Mean absolute error
0.5036
Mean prior absolute error
0.4992
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
0.4811
Per class
Predictive accuracy
0.4825
Prior entropy
0.9989
Recall
0.4825
Per class
Relative absolute error
1.0088
Root mean prior squared error
0.4996
Root mean squared error
0.5109
Root relative squared error
1.0227
SciMark benchmark
934.4754