DEVELOPMENT... OpenML
Run
108392

Run 108392

Task 16 (Supervised Classification) mfeat-karhunen 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
0.6812
Per class
Build CPU time
0.0556
Build memory
824776401.6
F measure
0.0889
Per class
Kappa
0.105
KB relative information score
410.4581
Mean absolute error
0.1677
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0609
Per class
Predictive accuracy
0.1945
Prior entropy
3.3219
Recall
0.1945
Per class
Relative absolute error
0.9316
Root mean prior squared error
0.3
Root mean squared error
0.2897
Root relative squared error
0.9656
SciMark benchmark
919.8064