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…The importance of each variable in a model (what we call Variable Importance ) is evaluated …
Importance Chart: Because of its centrality in model assessment and analysis, we are making the …
having to go to the Data Panel, then selecting "Model Variables" on top and then selecting "Statistics" …
to the Variable Importance Chart of the active model. We've implemented this new feature for all …
modeling categories (Regression, Classification, …
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…the classification accuracy or the R-square of a model, across k different random samples of a specific …
Cross-Validation technique is a powerful tool for model selection as it allows you to cross-validate …
model performance across a wide range of performance …
and Fitness Functions available for each modeling category and also User Defined Statistics …
it to help you in the selection of the very best model using cross-validation. For example, if you have …
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…down with the Task Manager. It only happened with model ensembles: when the models were deployed …
disappeared if we added a neutral gene to all the models of the ensemble before deploying to Excel! What …
Excel VBA code, right? Otherwise the individual models would also have crashed! And the same for the …
of speeding up the deployment of ensembles and models to Excel by optimizing the way Excel …
either remove the calculations for the Median Model in the Excel worksheet (GeneXproTools evaluates …
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…all the supported programming languages and all modeling platforms (of the math kind) Six new linking …
are now available for all algorithms in all modeling platforms Speedups in Model & Ensemble …
Deployment to Excel Extra feature for copying the model code as HTML accessible through the Edit Menu …
replacing the old "dblTemp" or "varTemp" in the model code And improved data loading from text files to …
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…to get the HTML that GeneXproTools uses in the Model Panel to show the model code in all the languages …
We will now all be able to post the code of our models on the web with the nice formatting and colors …
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…because it includes very useful techniques for model selection and analysis. I'm also excited about …
Being able to select the very best model from all the generated models is a crucial …
component of model design, with cross-validation at the heart of it. …
and then easily evaluate the accuracy of your models. Variable Importance The Variable Importance …
Chart is an essential tool in model evaluation and analysis and GeneXproTools users …
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…translates automatically the code of all the models it generates into 17 math programming languages …
built-in grammars (you can in fact translate the model code into virtually any programming language …
Classifier Functions": from math import * def gepModel(d): y = 0.0 y = gepCL3A(d[2],d[3]) y = …
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…greatly simplify the creation of classification models in the Regression Framework when we are …
interested in crisp outcomes for the model outputs. Furthermore, these new classifier …
Classification, but you must be aware that the models you're creating are much simpler (which might be …
max, Avg2 and others). Therefore these simpler models won't give you much differentiation in terms of …
for different purposes), visualization tools (the model fitting charts of Regression and Logistic …
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…to generate automatically Go code for all the models you create in GeneXproTools. As an example, …
here's the Go code for a nonlinear regression model generated for the Concrete Compressive Strength …
// Regression model generated by GeneXproTools 5.0 on 1/29/2014 …
package gepModel import ( "math" ) func …
gepModel(d []float64) float64 { …
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…us more control over the root position of our models by preserving the elements at the root of each …
This might be useful at the later stages of the modeling process when we are mainly interested in …
fine-tuning the model structure. …
