DEVELOPMENT... OpenML
Run
109052

Run 109052

Task 3549 (Supervised Classification) analcatdata_authorship 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
0.7006
Per class
Build CPU time
0.1189
Build memory
186220881.0654
F measure
0.4166
Per class
Kappa
0.3393
KB relative information score
86.254
Mean absolute error
0.3453
Mean prior absolute error
0.3439
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3378
Per class
Predictive accuracy
0.5589
Prior entropy
1.7898
Recall
0.5589
Per class
Relative absolute error
1.0042
Root mean prior squared error
0.4146
Root mean squared error
0.4022
Root relative squared error
0.9701
SciMark benchmark
942.3919