DEVELOPMENT... OpenML
Run
108528

Run 108528

Task 2352 (Supervised Classification) meta_all.arff 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
0.5862
Per class
Build CPU time
0.005
Build memory
38799384
F measure
0.6145
Per class
Kappa
0.2069
KB relative information score
1.9714
Mean absolute error
0.177
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5507
Per class
Predictive accuracy
0.6957
Prior entropy
1.9094
Recall
0.6957
Per class
Relative absolute error
0.9257
Root mean prior squared error
0.2919
Root mean squared error
0.3056
Root relative squared error
1.0469
SciMark benchmark
933.442