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Table 1 Data mining techniques for learning schemes

From: A genetic algorithm based framework for software effort prediction

DP Id Name AS Id Name LA Id Name
1 None None 1 GS GeneticSearch 1 GP GaussianProcesses
2 Log Logartihmic 2 BF BestFirst 2 LMS LeastMedSq
3 BC(-2) Box-Cox(λ= -2) 3 LFS LinearForwardSelection 3 LR LinearRegression
4 BC(-1) Box-Cox(λ= -1) 4 BE Backward Elimination 4 MP MultilayerPerceptron
5 BC(-.5) Box-Cox(λ= -0.5) 5 FS Forward Selection 5 RBFN RBFNetwork
6 BC(.5) Box-Cox(λ= 0.5)     6 SMO SMOreg
7 BC(1) Box-Cox(λ= 1)     7 AR AdditiveRegression
8 BC(2) Box-Cox(λ= 2)     8 BGN Bagging
       9 CR ConjunctiveRule
       10 DT DecisionTable
       11 M5R M5Rules
       12 ZR ZeroR
       13 DS DecisionStump
       14 M5P M5P
       15 RT REPTree