DEVELOPMENT... OpenML
Run
108841

Run 108841

Task 3833 (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)_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
0.9997
Per class
Build CPU time
1.3097
Build memory
444169510.2782
F measure
0.9893
Per class
Kappa
0.9772
KB relative information score
821.1712
Mean absolute error
0.0106
Mean prior absolute error
0.4698
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
0.9893
Per class
Predictive accuracy
0.9893
Prior entropy
0.9561
Recall
0.9893
Per class
Relative absolute error
0.0225
Root mean prior squared error
0.4846
Root mean squared error
0.098
Root relative squared error
0.2023
SciMark benchmark
937.279