DEVELOPMENT... OpenML
Run
13479

Run 13479

Task 23 (Supervised Classification) cmc Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(1)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(1)_I80
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5495
Per class
F measure
0.2556
Per class
KB relative information score
91.957
Mean absolute error
0.4091
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1823
Per class
Predictive accuracy
0.427
Prior entropy
1.5392
Recall
0.427
Per class
Relative absolute error
0.9496
Root mean prior squared error
0.4641
Root mean squared error
0.4523
Root relative squared error
0.9745
SciMark benchmark
915.1196[559.4100779115328859.097183139739483.6674820550281900.83846140220431772.5846070851353]