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L1-DS Final Assessment Workflow

This workflow contains the final assessment of the L1-DS self-paced course. Solve the workflow and complete the quiz at the end of the course!

Task 3. Make sense of the dataThe columns edu_mother and edu_father represent theeducation level of a student's parents. Map the indices to thefollowing categories0 - none1 - primary2 - middle3 - secondary4 - higherGroup the data in order to obtain the percentage of studentsfor each combination of mother and father education level. Task 1. Read dataThe students.sqlite database stores studentpersonal info in 2 tables - GP and MS - correspondingto two different schools. Read the content of the twotables into the workflow.The transcript.csv file contains failures, absencesand grades for each student. Question: What is thepercentage of students withboth parents having highereducation? Task 2. Bring things togetherMerge all the data in a single table containing studentsfrom both schools and the relative transcript data. Question: What is thetotal number of studentsin both schools? Fill the gaps: The feature with the highestcoefficient is ____. Applied on the test data, thelinear regression shows a mean absolute error of___. Task 4. Linear RegressionTrain a linear regresion model to fit the grade_final category.Partition 70-30 with random seed 1.Apply the model to the test data and evaluate its performance. Question: Which of thefollowing nodes can beused to replace theeducation index? Question: For which ofthe following studentsthere is no transcriptavailable? students.sqlitetranscript.csvNode 33Node 34Node 35Node 36Node 37Node 38Node 46Node 47Node 48Node 49Node 50Node 51Node 53Node 54Node 55Node 56Node 57 SQLite Connector CSV Reader DB Table Selector DB Reader DB Reader DB Table Selector Concatenate Joiner Rule Engine Rule Engine GroupBy Partitioning RegressionPredictor Linear RegressionLearner Numeric Scorer GroupBy GroupBy GroupBy GroupBy Task 3. Make sense of the dataThe columns edu_mother and edu_father represent theeducation level of a student's parents. Map the indices to thefollowing categories0 - none1 - primary2 - middle3 - secondary4 - higherGroup the data in order to obtain the percentage of studentsfor each combination of mother and father education level. Task 1. Read dataThe students.sqlite database stores studentpersonal info in 2 tables - GP and MS - correspondingto two different schools. Read the content of the twotables into the workflow.The transcript.csv file contains failures, absencesand grades for each student. Question: What is thepercentage of students withboth parents having highereducation? Task 2. Bring things togetherMerge all the data in a single table containing studentsfrom both schools and the relative transcript data. Question: What is thetotal number of studentsin both schools? Fill the gaps: The feature with the highestcoefficient is ____. Applied on the test data, thelinear regression shows a mean absolute error of___. Task 4. Linear RegressionTrain a linear regresion model to fit the grade_final category.Partition 70-30 with random seed 1.Apply the model to the test data and evaluate its performance. Question: Which of thefollowing nodes can beused to replace theeducation index? Question: For which ofthe following studentsthere is no transcriptavailable? students.sqlitetranscript.csvNode 33Node 34Node 35Node 36Node 37Node 38Node 46Node 47Node 48Node 49Node 50Node 51Node 53Node 54Node 55Node 56Node 57SQLite Connector CSV Reader DB Table Selector DB Reader DB Reader DB Table Selector Concatenate Joiner Rule Engine Rule Engine GroupBy Partitioning RegressionPredictor Linear RegressionLearner Numeric Scorer GroupBy GroupBy GroupBy GroupBy

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: emilio.silvestri
Created at: 2022-12-20
On NodePit since: 2023-06-19
Last update: 2024-12-17
Created with KNIME version: v4.7.2
Tags: L1-DSeducation

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