|Title||Credal C4.5 with Refinement of Parameters|
|Publication Type||Conference Paper|
|Year of Publication||2018|
|Authors||Mantas, Carlos J., Abellán Joaquín, Castellano Javier G., Cano J. R., and Moral Serafín|
|Editor||Medina, Jesús, Ojeda-Aciego Manuel, Verdegay José Luis, Perfilieva Irina, Bouchon-Meunier Bernadette, and Yager Ronald R.|
|Conference Name||Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications|
|Publisher||Springer International Publishing|
Recently, a classification method called Credal C4.5 (CC4.5) has been presented which combines imprecise probabilities and the C4.5 algorithm. The action of the CC4.5 algorithm depends on a parameter s. In previous works, it has been shown that this parameter has relation with the degree of overfitting of the model. The noise level of a data set can influence on the choice of a good value for s. In this paper, it is presented a new method based on the CC4.5 method with a refining of its parameter in the time of training. The new method has an equivalent performance than CC4.5 with the best value of s for each level noise.