Run
980

Run 980

Task 98 (Learning Curve) sonar Uploaded 08-04-2014 by Jan van Rijn
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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)_I10
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
0.8387 ± 0.0711
Per class
F measure
0.7614 ± 0.0819
Per class
Kappa
0.5203 ± 0.1598
KB relative information score
0.4431 ± 0.111
Mean absolute error
0.2858 ± 0.0519
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7613 ± 0.0799
Per class
Predictive accuracy
0.7615 ± 0.079
Prior entropy
0.9967 ± 0.0043
Recall
0.7615 ± 0.079
Per class
Relative absolute error
0.5741 ± 0.1043
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4136 ± 0.0618
Root relative squared error
0.829 ± 0.124
SciMark benchmark
892.186