Answer: object that persist set of values and operations as behavior
Explanation: Abstract data types(ADT)are those object value which are dependent upon the collection of the values and collection of the operations.The organization of the data object is not specified in ADT but the operations that are to be carried out are defined in it.
The implementation individuality displayed by the ADT and hiding of the representation or design makes it abstract.
Answer:
a. This is an instance of overfitting.
Explanation:
In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.
