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.
Answer:
d) rolling a pair of dice in monopoly
Explanation:
an algorithm is a process or set of rules followed in a particular order to perform a certain task. all of the other answers are a set of instructions that lead to something except for rolling a pair of dice. rolling a pair of dice can be a part of instruction but its not a process in itself.
hope this makes sense!
Answer:
I have the code written in c++ but the logic will be the same you just have to change the syntax ( if you're writing different language)
Explanation:
please mark brainliest
The equipment that move the fabric forward are called "Hem guides"
I would probably go with option B.
