DEVELOPMENT... OpenML
Run
108427

Run 108427

Task 240 (Supervised Classification) lymph 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
0.906
Per class
Build CPU time
0.01
Build memory
471292856
F measure
0.742
Per class
Kappa
0.5506
KB relative information score
13.4837
Mean absolute error
0.2262
Mean prior absolute error
0.2723
Number of instances
48
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7221
Per class
Predictive accuracy
0.7708
Prior entropy
1.2818
Recall
0.7708
Per class
Relative absolute error
0.8307
Root mean prior squared error
0.3701
Root mean squared error
0.2998
Root relative squared error
0.8099
SciMark benchmark
919.8064