![]() ![]() ![]() Apply the model to the test data and evaluate its performance. Linear Regression Train a linear regresion model to fit the grade_final category. Applied on the test data, the linear regression shows a mean absolute error of _. Question: What is the total number of students in both schools? Fill the gaps: The feature with the highest coefficient is _. Bring things together Merge all the data in a single table containing students from both schools and the relative transcript data. Question: What is the percentage of students with both parents having higher education? Task 2. The SQLite Connector doesnt work, the database it is refering to is not in the data folder. The transcript.csv file contains failures, absences and grades for each student. Read the content of the two tables into the workflow. Read data The students.sqlite database stores student personal info in 2 tables - GP and MS - corresponding to two different schools. Map the indices to the following categories 0 - none 1 - primary 2 - middle 3 - secondary 4 - higher Group the data in order to obtain the percentage of students for each combination of mother and father education level. Make sense of the data The columns edu_mother and edu_father represent the education level of a student's parents. Question: Which of the following nodes can be used to replace the education index? Question: For which of the following students there is no transcript available? students.sqlite transcript.csv SQLite Connector CSV Reader Task 3.
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