Run
5640

Run 5640

Task 94 (Learning Curve) dermatology 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.

17 Evaluation measures

Area under ROC curve
0.7718 ± 0.0169
Per class
Kappa
0.3397 ± 0.0096
KB relative information score
0.368 ± 0.0106
Mean absolute error
0.2033 ± 0.0023
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.5027 ± 0.0102
Prior entropy
2.4327 ± 0.0089
Recall
0.5027 ± 0.0102
Per class
Relative absolute error
0.763 ± 0.008
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.319 ± 0.0046
Root relative squared error
0.8742 ± 0.0119
SciMark benchmark
854.3843