It has been vigorously involved in the fields of life and medical sciences for benefitting analytics, development in radiology, oncology, cardiology, endocrinology, pediatrics, surgery, pulmonology, infectious diseases, radiotherapy, rehabilitation medicine, orthopedics, neurology, pharmacotherapy, health care management, obstetrics and gynecology (217). The results reached by our proposal on the involved datasets have been very promising when used in classification tasks and compared with other methods. The ultimate goal of this proposal is to provide the experts in the data domain with prior knowledge (as a guide) about the structure of the data and the rules found for each class, especially to track dichotomies and inequality. Since logical rules disclose knowledge from the analyzed data, we use such knowledge to interpret the results and filter the most important features from clinical data as a process of knowledge discovery. Hence, genetic programming represents a flexible and powerful evolutionary technique for automatic generation of classifiers. The use of genetic programming for rule induction has generated interesting results in machine learning problems. In this context, we define and test a set of mutation operators across from different clinical datasets to improve the performance of the proposal for each dataset.
Color Scheme Options for information about setting up custom color tables in your 2D maps and 3D surfaces, isosurfaces, fence panels, etc.This paper proposes a machine learning approach dealing with genetic programming to build classifiers through logical rule induction. Miscellaneous Project Tables for information about opening, creating new tables, etc. The following examples depict various "Cycle" settings with rather psychedelic results. The Cycles option will repeat the color palette by the specified iterations with the range of z-values (from z-min to z-max). The Min / Mid / Max option allows the user to select two "end members" for the color range, and a middle color. The Min / Max option allows the user to select two "end members" for the color range. This will only affect how the table is displayed in a graphic legend. The Ascending and Descending buttons allow you to reverse the order in which the values are listed in the table. For example, the settings within the menu above will produce the color table shown below, in which the colors range from cold-to-hot (purple to red) starting at a z-value of 0 and proceeding to 1000 at 50 unit increments, ascending order. Palette: Use the Palette button to generate a color-fill table based on a user-specified z-range/increment and a color scheme. If you need to verify the G value range of your solid model, use the Solid | Statistics | Report command to view a solid model summary. ! If you need to verify the Z value range of your grid model, use the Grid | Statistics | Report command to view a grid summary. 
You may declare uneven and discontinuous intervals.
You may list as many value intervals + colors as you wish. Color Fill tables can be accessed in the Project Manger, under the Project Tables | Map/Model Tables grouping. If you assign detailed names they'll be easy to distinguish when you're selecting which to use. ! You can store multiple Color Fill tables in your project database. They can also be used to display a reference color index in RockPlot2D and ReportWorks. for which you have requested "Custom" color intervals. A "Color Fill Table" is used to define a listing of value intervals and their corresponding colors, to be used by the program when building 2D or 3D color-filled contour maps, solid models, etc.
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