DEVELOPMENT... OpenML
Run
108579

Run 108579

Task 3544 (Supervised Classification) analcatdata_broadwaymult 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
0.6575
Per class
Build CPU time
0.0052
Build memory
277419965.3614
F measure
0.3622
Per class
Kappa
0.2821
KB relative information score
65.5238
Mean absolute error
0.1905
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2855
Per class
Predictive accuracy
0.5088
Prior entropy
2.4897
Recall
0.5088
Per class
Relative absolute error
0.8645
Root mean prior squared error
0.3314
Root mean squared error
0.309
Root relative squared error
0.9324
SciMark benchmark
936.1433