Artificial Intelligence - Review on Machine Learning 4A

What is Machine Learning?

Which of the following is not a part of how machine learning works?

• Data Collection

• Fine Tuning

• Prediction

• Data Processing

The part of the process of Machine Learning in which the chosen model is used against training data

• Fighting the Model

• Testing the Model

• Training the Model

• Model

The final step of the process of machine learning

• Data Dumping

• Fine Tuning

• Data Collection

• Prediction

The type of Feature that represents quantities, either discrete or continuous

Type of Features that represents only two possible values, Yes or No

What is the input variables that the model uses to make predictions or decisions?

• Labels

• Features

• Walang Label

• Walang Feature

What is the target value or outcome you want your model to predict?

What is the purpose of testing in Machine Learning?

Happens when anomalies were considered on the training

• SubFitting

• Overfitting

• Minimal Fitting

• Underfitting