DEVELOPMENT... OpenML
Run
95086

Run 95086

Task 3597 (Supervised Classification) baskball 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
0.7386
Per class
Build CPU time
0.0033
Build memory
51231972.3333
F measure
0.7081
Per class
Kappa
0.4159
KB relative information score
28.3066
Mean absolute error
0.3634
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
0.7084
Per class
Predictive accuracy
0.7083
Prior entropy
0.9997
Recall
0.7083
Per class
Relative absolute error
0.7271
Root mean prior squared error
0.4999
Root mean squared error
0.4632
Root relative squared error
0.9265
SciMark benchmark
930.1524