double fullMSE = calculateSE(m_SelectedAttributes, m_Coefficients); double akaike = (numInstances - numAttributes) + 2 * numAttributes; if (m_Debug) { double currentMSE = calculateSE(currentSelected, currentCoeffs); double currentAkaike = currentMSE / fullMSE * (numInstances - numAttributes) + 2 m_SelectedAttributes[minAttr] = false; double[] currentCoeffs = doRegression(m_SelectedAttributes); double currentMSE = calculateSE(m_SelectedAttributes, currentCoeffs); double currentAkaike = currentMSE / fullMSE * (numInstances - numAttributes) + 2
double fullMSE = calculateSE(m_SelectedAttributes, m_Coefficients); double akaike = (numInstances - numAttributes) + 2 * numAttributes; if (m_Debug) { double currentMSE = calculateSE(currentSelected, currentCoeffs); double currentAkaike = currentMSE / fullMSE * (numInstances - numAttributes) + 2 m_SelectedAttributes[minAttr] = false; double[] currentCoeffs = doRegression(m_SelectedAttributes); double currentMSE = calculateSE(m_SelectedAttributes, currentCoeffs); double currentAkaike = currentMSE / fullMSE * (numInstances - numAttributes) + 2
double se = calculateSE(m_SelectedAttributes, m_Coefficients); m_RSquared = RegressionAnalysis.calculateRSquared(m_TransformedData, se); m_RSquaredAdj =
double se = calculateSE(m_SelectedAttributes, m_Coefficients); m_RSquared = RegressionAnalysis.calculateRSquared(m_TransformedData, se); m_RSquaredAdj =