Deadline Evaluation Objective FRIDAY 29 APRIL 2022 10 MARKS This assignment will build a Linear Regression Model and mea

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Deadline Evaluation Objective Friday 29 April 2022 10 Marks This Assignment Will Build A Linear Regression Model And Mea 1 (421.92 KiB) Viewed 27 times

Deadline Evaluation Objective FRIDAY 29 APRIL 2022 10 MARKS This assignment will build a Linear Regression Model and measure the performance of the model to solve regression problem. 8 Problem to solve Evaluate a dataset using Linear Regression Model This dataset consists of 7 common different fish species in fish market sales. Using machine leaming algorithm with this dataset, a predictive model can be performed to estimate the weight of fish. Given the dataset of “fish.csv" that consists of 7 common different fish species in the fish market, you are required to evaluate and analyse the dataset using “RapidMiner" and report the results by completing the following tasks: 1) Import the raw data into the RapidMiner and perform pre-processing process if necessary. 2) Apply the Linear Regression Model in RapidMiner and investigate the Performance. The data should be divided into two sets of data: a training set (3/4) and a test set (1/4). 3) Build multiple linear Pegression model using different predictors variable (i.e. xi, X2....X.) towards response variable (i.e. y) in order to perform multivariate analysis. 4) Report your findings by giving details explanation and discuss the results based on the results from different views (i.e. Visualisation View, Data View and Description View) by stating your hypothesis. Nano-