DEVELOPMENT... OpenML
Run
9549

Run 9549

Task 9 (Supervised Classification) autos 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
0.6648
Per class
F measure
0.3359
Per class
Kappa
0.2203
KB relative information score
49.5079
Mean absolute error
0.1938
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2667
Per class
Predictive accuracy
0.4537
Prior entropy
2.3268
Recall
0.4537
Per class
Relative absolute error
0.8771
Root mean prior squared error
0.3318
Root mean squared error
0.3116
Root relative squared error
0.9392
SciMark benchmark
916.7244[567.4172322112764855.6639129821287483.0147548568529908.95975824819551768.5664600912808]