Changes for page Setting up Algorithms

Last modified by karimpirani on 2014/07/01 15:53

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edited by karimpirani
on 2014/07/01 15:28
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edited by karimpirani
on 2014/06/30 16:52
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14 14  
15 15  2.1 To begin the process of creating an algorithm which will analyze data of your choosing, click the New button represented by the green plus icon on the bottom menu bar of options.
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17 -[[image:algorithms 2.PNG||width="100%"]]
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20 20  3. A blank "Create a New Algorithm" page will appear. You can populate this page with information about the new algorithm you intend to run.
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45 45  * Standard:
46 46  * Logical:
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51 51  6. In the Classification Algorithm option, you will be taken to this main screen for data entry and choice options.
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75 75  7.5 NOTE: the factors will all show up on the right side with a score of 1. To change the score of interest to better represent what you are looking for, you can double click on the numeral and enter your own score which would then be classified as the risk level you designate it as.
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78 -* TIP: When moving from one column to the next in the same row, you may simply press ‘tab’ on your keyboard.
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86 86  
87 87  8.2 To change the bounds or the name of the classification, simply double click on the generic entries already in the box and you should be able to re-name or re-number the fields
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89 -8.3 NOTE: the lower bound is inclusive, while the upper bound is not
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91 91  [[image:algorithms 8.PNG||width="100%"]]
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93 93  
94 94  ~** APPLIES ONLY TO ASSESSMENT ALGORITHM ~*~*
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96 -9. You have several options in the Configurations tab
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98 -9.1 Like the Classification Algorithm, you can select certain factors (in this case, the various domains and items relating to the assessment you previously chose as the instrument) to add or remove as part of your algorithm's consideration
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100 -9.2 Again, like the Classification Algorithm, you can give different weights to the different items, which will impact your overall evaluation
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102 -9.3 A new option in the Assessment Algorithm is the ability to choose your own score aggregation formula, meaning you can decide how you want the data to be considered
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105 -* Sum: simply adds all the factors and their weights
106 -* Mean: takes the arithmetic average of the scores
107 -* Complexity Score:
108 -* Mean x 10:
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110 110  [[image:algorithms 9.PNG||width="100%"]]