Run
5620

Run 5620

Task 90 (Learning Curve) credit-g Uploaded 03-05-2014 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
0.7261 ± 0.0502
Per class
F measure
0.6824 ± 0.0469
Per class
Kappa
0.2122 ± 0.1179
KB relative information score
0.1225 ± 0.0492
Mean absolute error
0.359 ± 0.0159
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6823 ± 0.0535
Per class
Predictive accuracy
0.7107 ± 0.0357
Prior entropy
0.8813
Recall
0.7107 ± 0.0357
Per class
Relative absolute error
0.8544 ± 0.0378
Root mean prior squared error
0.4583
Root mean squared error
0.4293 ± 0.0164
Root relative squared error
0.9367 ± 0.0357
SciMark benchmark
864.3851