DEVELOPMENT... OpenML
Run
95675

Run 95675

Task 1780 (Supervised Classification) mfeat-karhunen 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
0.6943
Per class
Build CPU time
0.0411
Build memory
557190816
F measure
0.1131
Per class
Kappa
0.1046
KB relative information score
2043.0273
Mean absolute error
0.1678
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0953
Per class
Predictive accuracy
0.1941
Prior entropy
3.3219
Recall
0.1941
Per class
Relative absolute error
0.9322
Root mean prior squared error
0.3
Root mean squared error
0.29
Root relative squared error
0.9667
SciMark benchmark
943.0033