Run
72

Run 72

Task 75 (Learning Curve) mfeat-karhunen Uploaded 07-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.6849 ± 0.0116
Per class
Kappa
0.1048 ± 0.0043
KB relative information score
0.2052 ± 0.0041
Mean absolute error
0.1677 ± 0.0005
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.1944 ± 0.0039
Prior entropy
3.3219
Recall
0.1944 ± 0.0039
Per class
Relative absolute error
0.9317 ± 0.0027
Root mean prior squared error
0.3
Root mean squared error
0.2897 ± 0.0009
Root relative squared error
0.9656 ± 0.0029
SciMark benchmark
1948.7118