Multicollinearity was defined as tolerance values below 0.1 and VIF values equal to or greater than 10 (43).
Multicolinearity was defined as tolerance values below 0.1 and VIF values equal to or greater than 10.
or when a maximum number of iterations is reached, and ε is defined as a tolerance value.
Further multicollinearity could not be detected as the Tolerance value was above.40 and the Variance Inflation Factor was below 2.5 for all variables.
Our system has been implemented in python and using scikit-learn packages.4 SVC classifier has been used with linear kernel with penalty value as 1.0 and tolerance value for stopping criteria as 1e−4.
The ith tolerance value is defined as 1- R k 2, where R k 2 is the coefficient of determination for regression of the ith independent variable on all the other independent variable.
Therefore, a tolerance value of 5 (0.5 × 10) was chosen as the candidate tolerance value for FPC contig assembly, with all fragment sizes of each fingerprint multiplied by 10 [ 38].
Multicollinearity was not detected, as none of the independent variables had a small (<.10) tolerance value.
The tolerance value of iteration residual in each increment is set as 0.5% of the force.
