Sentence examples for building the classification model from inspiring English sources
Accuracy-oriented feature reduction was performed when choosing the optimal number of features for building the classification model.
Then the function 'tune.svm' was applied for the optimization of hyperparameters (with C = 2 i with i = −5, −4, … 1, 2), the function 'svm' with the option 'probability = TRUE' was used for building the classification model, and the function 'predict.svm' was used to obtain, for each replicate of the compounds in the test set, the probabilities that they belong to mercurials or HDACi.
A total of 60 2D and 3D molecular descriptors (MDs) of diverse nature were selected for building the classification models using decision tree (DT), random forest (RF), support vector machine (SVM), and moving average analysis (MAA).
Another important aspect for machine learning-based BNER approaches is features used for building the classification models.
The methodology followed to address this problem consisted of three steps: (1) the calculation of gene pair features to be combined, (2) the building of the classification model using machine learning algorithms to deal with Big Data from a pairwise dataset, and (3) the classification of related gene pairs.
The building of the classification model using machine learning algorithms to deal with big data from a pairwise dataset.
AR, TOB and VG were involved in analyzing the dataset, building the LAD classification models, and the LAD regression models.
In machine learning, especially for classification, a high-quality training dataset is important for training the classification model.
In addition, K-nearest neighbor and soft independent modeling of class analogy algorithms were employed to the classification models building.
