DEVELOPMENT... OpenML
Run
108712

Run 108712

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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)_I160
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
0.5328
Per class
Build CPU time
0.0326
Build memory
560201488.4528
F measure
0.6939
Per class
Kappa
0.0281
KB relative information score
-4.1272
Mean absolute error
0.3195
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6713
Per class
Predictive accuracy
0.7484
Prior entropy
0.7667
Recall
0.7484
Per class
Relative absolute error
0.9252
Root mean prior squared error
0.4143
Root mean squared error
0.4414
Root relative squared error
1.0654
SciMark benchmark
939.0159