DEVELOPMENT... OpenML
Run
108752

Run 108752

Task 3762 (Supervised Classification) analcatdata_negotiation 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
0.8791
Per class
Build CPU time
0.0293
Build memory
957632415.1304
F measure
0.8478
Per class
Kappa
0.6247
KB relative information score
50.9669
Mean absolute error
0.1708
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8478
Per class
Predictive accuracy
0.8478
Prior entropy
0.8651
Recall
0.8478
Per class
Relative absolute error
0.4193
Root mean prior squared error
0.4503
Root mean squared error
0.3934
Root relative squared error
0.8737
SciMark benchmark
923.3659