| الوصف: |
Some authors haverepeatedl pointed out that the use of the accuracy, inparticulq for comparingclgN -,::LN is not adequate. The main argument concerns some assumptions ofsel-I 11 vall,N or correctnessunderlnes the use of this criterion. In this paper, we study the computational burden of the accuracy's replacy'sN forbuil:I# and comparingclaringNqP using 13 the framework of Inductive Logic Programming.Replamming is investigated in three ways: complIIIL of the accuracy with anadditional requirement,replrement of the accuracy with 15 bi-criterionrecentl introduced fromstatistical decision theory: the Receiver Operating Characteristicanalisti andrepl,I'NG# of the accuracy by asingl criterion. We prove very hard 17 resul, for most of thepossibl repllONG##I A #rstresul shows thataltNq': the arbitrary multraryNIII' ofcl-IPq appears to betotalq uselq# "Arbitrary" is to be taken in its broadest 19 meaning, inparticul# exponential The second point is the sudden appearance of the negative resuli which is not a function of the criteria's demands. The third point is theequivalNGin 21 di#culN of al these di#erent criteria. In contrast, thesingl accuracy's optimization appears to be tractabl in this framework. 23 c 2002Publ-LL: byEl-L:-O Science B.V. 1. I936361108 An essential task of Machine Learning (ML) and Data Mining (DM) systems is relIII to cl#L-#NGPIOIN ThisbasicalO consists in giving the most accurate answer 27 #TelN +33-596-72-73-64; fax: +33-596-72-73-62. |
