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Figure 2 | BMC Bioinformatics

Figure 2

From: The C1C2: A framework for simultaneous model selection and assessment

Figure 2

Generalization errors obtained with the C1C2 and repeated K -fold cross-validation. The figure shows | ε ^ g e n − ε ˜ g e n | ¯ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaa0aaaeaadaabdaqaaiqbew7aLzaajaWaaSbaaSqaaiabdEgaNjabdwgaLjabd6gaUbqabaGccqGHsislcuaH1oqzgaacamaaBaaaleaacqWGNbWzcqWGLbqzcqWGUbGBaeqaaaGccaGLhWUaayjcSdaaaaaa@3BEC@ , where ε ^ g e n MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqyTduMbaKaadaWgaaWcbaGaem4zaCMaemyzauMaemOBa4gabeaaaaa@31C7@ were produced using the C1C2 (blue) and repeated K-fold cross-validation (red) for all other factor combinations in model (6). The plot is based on pooled | ε ^ g e n − ε ˜ g e n | ¯ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaa0aaaeaadaabdaqaaiqbew7aLzaajaWaaSbaaSqaaiabdEgaNjabdwgaLjabd6gaUbqabaGccqGHsislcuaH1oqzgaacamaaBaaaleaacqWGNbWzcqWGLbqzcqWGUbGBaeqaaaGccaGLhWUaayjcSdaaaaaa@3BEC@ over the four replicates for each method. The bars show the 95% confidence interval, calculated from the pooled results (the confidence intervals are only shown in one direction to avoid cluttering). The factor combinations in model (6) are coded as: ga – the GA search method was used, bf – the brute force search method was used, uncor – orthogonal independent variables in the dataset, cor – correlated independent variables in the dataset, 15 – n = 15 observations in the dataset, 200 – n = 200 observations in the dataset, all – no assumption regarding the number of nonzero δ i , 3 – three δ i = 1 were assumed.

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