DEVELOPMENT... OpenML
Run
95179

Run 95179

Task 3610 (Supervised Classification) fri_c3_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
0.8685
Per class
Build CPU time
0.009
Build memory
170716627.2
F measure
0.7723
Per class
Kappa
0.5378
KB relative information score
109.2638
Mean absolute error
0.2884
Mean prior absolute error
0.4919
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
0.7729
Per class
Predictive accuracy
0.772
Prior entropy
0.9883
Recall
0.772
Per class
Relative absolute error
0.5863
Root mean prior squared error
0.4959
Root mean squared error
0.3808
Root relative squared error
0.7679
SciMark benchmark
945.4151