Run
1853

Run 1853

Task 1703 (Learning Curve) labor Uploaded 23-04-2014 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
0.9858 ± 0.0198
Per class
F measure
0.9104 ± 0.0897
Per class
Kappa
0.8006 ± 0.335
KB relative information score
0.7968 ± 0.2478
Mean absolute error
0.0937 ± 0.1028
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9144 ± 0.0603
Per class
Predictive accuracy
0.9123 ± 0.1209
Prior entropy
0.9349 ± 0.0648
Recall
0.9123 ± 0.1209
Per class
Relative absolute error
0.2049 ± 0.2292
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.2414 ± 0.1824
Root relative squared error
0.5058 ± 0.3926
SciMark benchmark
834.7002