# Jonathan would be a gene expression and the result

Jonathan
Alcantara

CS
780 Machine Learning

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Assignment
0

Problem
1

The
advantages of a very flexible approach for regression or classification is
that you get a better fit for non-linear models that will decrease the
bias.  For a more flexible approach
it would be preferable when we are interested in the predictors. The
disadvantages are that it requires estimating a larger number of
parameters and it increases variance.

A
less-flexible approach would be preferable when we are interested in the
inference and how well we can interpret the results.

Problem
2

1.
An application in which classification combined
with prediction may be useful is be checking if email is spam. The input would
be a sequence of common spam words and the response would indicate if an email
is spam.

2.
An application in which classification combined
with inference may be useful is figuring out which genes respond to a drug. The
input would be a gene expression and the result would be whether there is a
drug response or not.

3.
An application in which regression combined with
prediction may be useful is predicting the stock price change. The input would
be the daily news from the past years and the result would be the prediction.

4.
An application in which regression combined with
inference may be useful would be figuring out what mileage per gallon a new car
design would have. The predictors would be the how many cylinders, performance
parts and horsepower. The result would be the mileage per gallon for the car.

Problem 3

1.
Done

2.
X) Min: 1, Max: 200, Mean: 200.50
TV) Min: 0.70, Max: 296.40, Mean: 147.04
radio) Min: 0, Max: 49.600, Mean: 23.264
newspaper) Min: 0.30, Max: 144, Mean: 30.55
sales) Min: 160, Max: 27, Mean: 14.02

3.

4.