What data is used in model building?
1- Training data
2- Testing data
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Answered by
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Answer:
❤️❤️Training set is the one on which we train and fit our model basically to fit the parameters whereas test data is used only to assess performance of model. Training data's output is available to model whereas testing data is the unseen data for which predictions have to be made.❤️❤️
Explanation:
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Training Data is the correct answer to this question.
Explanation:
- Training data is an initial collection of data used only to help the system recognize how techniques such as neural nets can be used to train and generate complex results.
- The majority of the training data includes the pair of inputs obtained from the different tools and then arranged and footnoted with precision by other strategies.
- Training data is the key and most significant data that lets machines learn and predict the future.
- Training data is essentially a category of data used to hire a new program, model, or process using different methods based on the viability and specifications of the venture.
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