DEVELOPMENT... OpenML
Run
95528

Run 95528

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.8841
Per class
Build CPU time
0.0088
Build memory
1182240424
F measure
0.8359
Per class
Kappa
0.6669
KB relative information score
124.321
Mean absolute error
0.2619
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8359
Per class
Predictive accuracy
0.836
Prior entropy
0.9898
Recall
0.836
Per class
Relative absolute error
0.5314
Root mean prior squared error
0.4964
Root mean squared error
0.3669
Root relative squared error
0.7391
SciMark benchmark
933.0871