DEVELOPMENT... OpenML
Run
95501

Run 95501

Task 3762 (Supervised Classification) analcatdata_negotiation Uploaded 08-12-2014 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)_I10
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
0.9135
Per class
Build CPU time
0.0029
Build memory
949910081.8261
F measure
0.8379
Per class
Kappa
0.6025
KB relative information score
50.4922
Mean absolute error
0.1749
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
0.839
Per class
Predictive accuracy
0.837
Prior entropy
0.8651
Recall
0.837
Per class
Relative absolute error
0.4291
Root mean prior squared error
0.4503
Root mean squared error
0.3337
Root relative squared error
0.7411
SciMark benchmark
940.7816