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2.6.1 Machine learning Prediction Algorithms

Different machine learning algorithms can be applied to make predictions in
many fields. Here are some examples of algorithm that can be use.

i. Support Vector Machine (SVM)

SVM is a supervised learning technique that can be applied to

regression or classification tasks. It operates by identifying the most

effective hyperplane for classifying the data (Uddin et al., 2019). SVM
has been successfully used in a number of fields of study, including

dengue analysis, water quality index prediction, cancer genomics, and
soil quality enhancement. SVM has become a standard tool in machine

learning and data mining because it can offer the best learning

capability. Figure 2.9 shows an example of how SVM algorithms
classify individuals as having diabetes or not based on abstract data.

Figure 2.9 Support Vector Machine
(Source: Uddin et al., 2021)

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