V. EXPERIMENT
The experiment was carried out using three classifier
models, namely; decision tree, neural network, and naive
Bayesian classifiers. This is in view to finding out which of
the classifier best suits the dataset in terms of classifying the
pre-processed data, trained data, testing, and making
prediction using the model obtained from the training process.
The detailed procedure of the experimentation is as follows:
V. EXPERIMENTThe experiment was carried out using three classifiermodels, namely; decision tree, neural network, and naiveBayesian classifiers. This is in view to finding out which ofthe classifier best suits the dataset in terms of classifying thepre-processed data, trained data, testing, and makingprediction using the model obtained from the training process.The detailed procedure of the experimentation is as follows:
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