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RBF was used to build predictive artificial neural network model.
We survey and compare some major machine learning techniques that have been used to build predictive customer churn models.
Descriptors and response values are concatenated into a dataset, and statistical methods are commonly used to build predictive models of these.
Apart from being used to build predictive models, the fingerprints can also be analyzed to find out the fragments that may cause acute toxicity.
A third example of usage is provided by a workflow (in Fig. 4e) used to build predictive classification models inside KNIME from bioactivity data, ADMET, adverse effects, or molecular descriptors selected from IDAAPM is demonstrated.
chemical data: this domain contains the chemicals and their associated information such as chemical descriptors, chemical and physical properties and molecular structures, which are used to build predictive models.
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It is important to stress that their definition of cluster focus is the situation where data are to be predicted of a cluster that was also used to build the predictive model.
This ranking can be used to build a predictive model, without eliminating any variables, using any other machine learning prediction method, in this case and differently from Genuer et al [43], Support Vector Machines [48], inserting the variables stepwise in order to find a good balance between the number of variables and prediction error.
This misclassification cost is then used to build the predictive models.
These 71 patients comprised the training set used to build the predictive genomic signature.
Two nodes are connected if the data at one node can be used to build a predictive model for the cytotoxicity of the molecules at the other node.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com