DEVELOPMENT... OpenML
Run
108617

Run 108617

Task 3597 (Supervised Classification) baskball 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
0.7575
Per class
Build CPU time
0.0258
Build memory
815740446.5
F measure
0.7187
Per class
Kappa
0.437
KB relative information score
37.655
Mean absolute error
0.3093
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7187
Per class
Predictive accuracy
0.7188
Prior entropy
0.9997
Recall
0.7188
Per class
Relative absolute error
0.6189
Root mean prior squared error
0.4999
Root mean squared error
0.4708
Root relative squared error
0.9418
SciMark benchmark
916.1588