DEVELOPMENT... OpenML
Run
108686

Run 108686

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.9294
Per class
Build CPU time
2.502
Build memory
332669611.2
F measure
0.8514
Per class
Kappa
0.6968
KB relative information score
336.3314
Mean absolute error
0.1637
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8519
Per class
Predictive accuracy
0.852
Prior entropy
0.9875
Recall
0.852
Per class
Relative absolute error
0.3333
Root mean prior squared error
0.4956
Root mean squared error
0.331
Root relative squared error
0.6678
SciMark benchmark
933.442