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Fitted stock vs perfect balance
Fitted stock vs perfect balance







Why guys? Because he is able to excel in that exam in which the exact same set of questions came from the textbook. Here the training accuracy would be very high. Reverting back to our scenarios, Student A can be treated as a perfect example of an overfitted model. I recommend you to read this book if you are pursuing Data Analytics, but if you are eyeing more into the Deep Learning domain, I don’t recommend it.

fitted stock vs perfect balance

Whereas underfitting is the case where the model has “ not learned enough” from the training data, resulting in low generalisation and unreliable predictions. This is due to the model learning “too much” from the training data set. Overfitting is the case where the overall cost is really small, but the generalisation of the model is unreliable. “An introduction to Statistical Learning” by Gareth James explains overfitting and underfitting as follows: I guess it’s time to move deep into the terms overfitting and underfitting. Generalisation is the model’s ability to provide a sensible output to the input that it has never seen before.Performance of the model as well as it’s application as a whole relies heavily on the generalisation of the model. The most expected outcome from a machine learning model is to generalise a defined task well. Now with a referral to the above outcomes, I would like to explain the concepts of overfitting and underfitting. However student A would still fail miserably, as most of the questions asked were indirectly from the text. Here, Student C or student B are equally likely to be on top. Scenario 3: Most of the questions came indirectly from the first half of the textbook. Student A would fail miserably, Student C would barely manages to pass the exam. Scenario 2 : Most of the questions came indirectly from the given textbook. Student C barely manages to pass the exam Student B would also perform good, but not as good as student A. In this case, Student A has an upper hand as he had managed to byheart the whole textbook. Scenario 1: Most of the questions came directly from the textbook exactly as it is. Now let us look upon the following scenarios:

fitted stock vs perfect balance

But whatever he learnt, he was true to the concepts related to it. Student C learned half the book from the beginning, leaving behind the other half. Student B, however tried to grasp and conceptualise the basic concepts behind each chapter in the textbook. Student A byhearted the whole of the textbook without giving any significant importance to the concepts explained in it. All three of them were provided with “ Concepts of Physics” by H.C Verma for their references. Consider three students, Student A, Student B and Student C, who were about to hit the final Physics exam of their academics.









Fitted stock vs perfect balance