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SVM as implemented in the scikit-learn library was employed.
K-Nearest Neighbor was utilized as implemented in the Scikit-learn library.
RF as implemented in the scikit-learn library was employed, "RandomForestClassifier" function from the ensemble family [57].
NB was included as a baseline method in this study as implemented in the Scikit-learn library utilizing the "BernoulliNB" function [57].
This method is implemented in the scikit-learn library.
We use the radial basis function SVM kernel with default parameters as implemented in the scikit-learn framework [ 31], which uses LibSVM [ 32]; it is also possible to specify alternate values for the cost and gamma parameters.
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We used a scaled matrix of genotype frequencies for wild mosquito samples for a PCA as implemented in the python package scikit-learn (Pedregosa and Varoquaux 2011).
It was implemented using the scikit-learn [40] Python libraries for all ML processes.
The example shown in Fig. 6 applies four machine learning approaches [(a) stochastic gradient descent (SGD) linear regression, (b) logistic regression and support vector machine (SVM) with both a linear (c) and a polynomial (d) kernel], as implemented within the scikit-learn package [53], to classify active from inactive compounds within 102 targets of the original DUD-E dataset [45, 46].
The gradient tree boosting algorithm, originally published in 2000, is outlined below [ 33] and the implementation we use can be found in the scikit-learn python library [ 34].
Our system has been implemented in python and using scikit-learn packages.4 SVC classifier has been used with linear kernel with penalty value as 1.0 and tolerance value for stopping criteria as 1e−4.
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