DEVELOPMENT... OpenML
Run
108749

Run 108749

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.9276
Per class
Build CPU time
0.6752
Build memory
383238618.4
F measure
0.8437
Per class
Kappa
0.6811
KB relative information score
167.9781
Mean absolute error
0.1611
Mean prior absolute error
0.4908
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
0.8437
Per class
Predictive accuracy
0.844
Prior entropy
0.9868
Recall
0.844
Per class
Relative absolute error
0.3283
Root mean prior squared error
0.4954
Root mean squared error
0.3491
Root relative squared error
0.7048
SciMark benchmark
945.0554