DEVELOPMENT... OpenML
Run
95550

Run 95550

Task 3021 (Supervised Classification) sick 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
0.9786
Per class
Build CPU time
0.1646
Build memory
359264005.5949
F measure
0.9703
Per class
Kappa
0.7418
KB relative information score
2106.1917
Mean absolute error
0.0396
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9703
Per class
Predictive accuracy
0.9703
Prior entropy
0.3333
Recall
0.9703
Per class
Relative absolute error
0.3437
Root mean prior squared error
0.2398
Root mean squared error
0.1475
Root relative squared error
0.6151
SciMark benchmark
943.0033