Question 1: (2 marks) Analyse the general properties of the dataset and obtain an insight into the difficulty of the prediction task. Create a statistical analysis of the attributes and their values, then list 5 of the most interesting (most valuable) attributes. Explain the reasons that make these attributes interesting. Note: A set of R-script files are provided with this assignment (included in the zip-file). These are similar to the scripts used in labs. The scripts provided will allow you to produce some first results. However, virtually none of the parameters used in these scripts are suitable for obtaining a good insight into the general properties of the given dataset. Hence your task is to modify the scripts such that informative results can be obtained from which conclusions about the learning problem can be made. Note that finding a good set of parameters is often very time consuming in data mining. An additional challange is to make a correct interpretation of the results. This is what you need to do: Find a good set of parameters (i.e. through a trial and error approach), obtain informative results then offer an interpretation of the results. Write down your approach to conducting the experiments, explain your results, and offer a comprehensive interpretation of the results. Do not forget that you are also to provide an insight into the degree of difficulty of this learning problem (i.e. from the results that you obtained, can it be expected that a prediction model will be able to achieve a 100% prediction accuracy?). Always explain your answers