DEVELOPMENT... OpenML
Run
108616

Run 108616

Task 3587 (Supervised Classification) pwLinear 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
0.9128
Per class
Build CPU time
0.0528
Build memory
208281283.2
F measure
0.8449
Per class
Kappa
0.6894
KB relative information score
129.9646
Mean absolute error
0.1802
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8452
Per class
Predictive accuracy
0.845
Prior entropy
0.9994
Recall
0.845
Per class
Relative absolute error
0.3608
Root mean prior squared error
0.4998
Root mean squared error
0.3538
Root relative squared error
0.7079
SciMark benchmark
943.4024

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