DEVELOPMENT... OpenML
Run
95380

Run 95380

Task 3665 (Supervised Classification) pyrim 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
0.9182
Per class
Build CPU time
0.0058
Build memory
344220431.1351
F measure
0.8781
Per class
Kappa
0.7491
KB relative information score
45.9944
Mean absolute error
0.1946
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8781
Per class
Predictive accuracy
0.8784
Prior entropy
0.9819
Recall
0.8784
Per class
Relative absolute error
0.3994
Root mean prior squared error
0.4934
Root mean squared error
0.3217
Root relative squared error
0.652
SciMark benchmark
943.0033