DEVELOPMENT... OpenML
Run
95155

Run 95155

Task 3605 (Supervised Classification) sleep 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
0.7126
Per class
Build CPU time
0.0295
Build memory
38220401.8065
F measure
0.7225
Per class
Kappa
0.4435
KB relative information score
17.699
Mean absolute error
0.3673
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.729
Per class
Predictive accuracy
0.7258
Prior entropy
0.9972
Recall
0.7258
Per class
Relative absolute error
0.7377
Root mean prior squared error
0.499
Root mean squared error
0.469
Root relative squared error
0.94
SciMark benchmark
933.0871