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A measure of variable importance was estimated by taking a scaled composite of the importance scores outputted by random forests.
The ratio of nonsynonymous to synonymous substitutions, dN/dS, which is a measure of variable Darwinian selective pressures, was estimated by maximum likelihood from the PEG11 coding sequence alignment using the codeml program from PAMLv4 [49].
RF present many advantages with respect to other non-linear machine learning methods, such as neural networks, since they usually yield high performance, are robust to over-fitting, can handle a large number of variables, and provide a measure of variable importance.
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Here, we study the "heat capacity" (C = operatorname{Var} (log_{2} P (k) ) / N), which is a measure of how variable the probabilities of different population spike counts k are.
MI Mutual Information of two random variables is a measure of the variables' mutual dependence.
A structured clinical interview (Structured Clinical Interview for DSM-III-R), a measure of personality variables (MMPI), and several structured interviews designed for collecting data on clinical and personal history were administered.
The Mutual Information is a measure of the variables' mutual dependence.
Note that the variable "has a regular medical doctor" is included as both an enabling resource (independent variable) and a measure of access (dependent variable).
The former is based on fitting two competing models, with and without the variable of interest; a typical measure of variable importance is the P-value obtained in, say, a likelihood ratio test.
In particular, to define solution performance scattering, the fuzzy entropy is used as a global measure of variable dispersion.
Second, we identified the most important metrics based on the Model Improvement Ratio (MIR), a standardized measure of variable importance [51, 52].
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