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.  A               is a pro ect  here students must research a topic independently to get a deep understanding of
                     the sub ect matter.
                     a.  AI model                                    b.   culminating report
                     c.   senior report                              d.   capstone
                  .   ean  quare  rror     ) is the most commonly used regression loss function.     is the sum of squared distances
                     bet een our target variable and predicted values. Identify one feature of
                     a.  It is sensitive to outliers
                     b.  It is used on data, conditioned on the output variables.

                     c.  It is good to use if the target data is normally distributed around a median value.
                     d.  It should be compared  ith  ean Absolute  rror,  here the optimal prediction is the mean.
                  .  In problem decomposition
                     i.   nderstand the problem and then restate the problem in your o n  ords
                     ii.   ather all simple facts to create a complicated piece

                     iii.   reak larger units into simpler ones
                     iv.   ode one small unit at a time
                         hich of the follo ing is true
                     a.   i) and  ii)                                b.   i),  iii) and  iv)
                     c.   ii) and  iv)                               d.   i),  ii),  iii) and  iv)
                  .   or AI techniques to be applied to a dataset, the data must have a    .
                     a.  association                                 b.   relationship
                     c.   pattern                                    d.    ither a or b

                  .  An optimum AI model should have a             value less than    .
                     a.   ean  quare  rror                           b.    ean Absolute  rror
                     c.   uantile  oss                               d.    oot  ean  quare  rror

                  .  Determining  hether a credit card transaction is fraudulent or not it uses    technique.
                     a.  Decision  rees                              b.   lassification
                     c.   egression                                  d.   lustering
                  .   he train test split is a technique for evaluating the performance of a machine learning algorithm.
                      hich machine learning algorithms can it be used for
                      i)   egression                                  ii)    lustering
                      iii)  lassification                             iv)  Deep  earning
                     a.  Only  i)                                    b.   Only  ii)
                     c.    oth  i) and  iii)                         d.    oth  ii) and  iv)

                  .   hich of the follo ing is  O  a  lassification  oss function
                     a.   og  oss                                    b.    inge  oss
                     c.     ponential loss                           d.    ean Absolute  rror

                  .  After the initial data collection, techniques such as descriptive statistics and    can be
                     applied to datasets to evaluate the content and quality of the data.

                     a.  visualisations                              b.   analysis
                     c.  validation                                  d.   machine learning



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