Describe a neural network : Implement a Multi-Layer Perceptron (MLP) For Supervised Classification

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Information Technology (IT), Architecture
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of setting the type as a factor in the data preparation process?
To convert numerical data into categorical data
To reduce the number of data columns
To improve the speed of data processing
To increase the size of the dataset
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of splitting the data into training and testing sets?
To reduce the complexity of the model
To validate the model's performance on unseen data
To increase the number of predictors
To ensure the model is trained on all available data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to normalize the training and testing data?
Scale
Normalize
Transform
Standardize
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the confusion matrix in model evaluation?
To visualize the training process
To compare predicted and actual classes
To increase the model's accuracy
To reduce the model's complexity
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the overall accuracy of the model calculated?
By dividing the number of correct predictions by the total number of predictions
By adding the number of correct and incorrect predictions
By multiplying the number of correct predictions by the total number of predictions
By subtracting the number of incorrect predictions from the total number of predictions
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