CLOSED! Freestyle prediction of grades in yet another MOODY data set
March 30 ,2022
This is the next in the sequence of data puzzles about grading methods of the eccentric professor Moody. Professor Moody found out that his former grading methods were leaked to the student by treacherous TA and changed his grading methods (and the TA).
Unfortunately, again the data was leaked to the students (Professor Moody does not use passwords). It indicates that Professor Moody may be tougher on certain majors and also may apply different grading criteria for different student seniority levels
Can you build a prediction model which will mimic Moody's grading as closely as possible?
Access the training and testing datasets and further instructions here: https://rutgers.instructure.com/courses/159918/assignments/1953810
Course Textbook: https://dev7796.github.io/data101_tutorial/intro.html
Kaggle submission instructions
Participate here : https://www.kaggle.com/t/083ff31e3ac240adb46c02671725edf5
Predict the sound that the mysterious box makes
A mysterious box was found on the beach. Despite spending probably years in the water, it still works! But what does it do? It has four inputs (electric), a switch, and emits different weird and scary sounds as output in response to the electric signals on the inputs and different switch positions. It sizzles, gurgles, hisses, ominously tics like a bomb…..but nothing happens - just sounds. The training dataset describes which sounds have been noted in the laboratory (highest security level!) in nearly 20,000 experiments combining different input signals and switch positions. Using training data - built a predictive model which can be tested on the test data which can predict as well as possible the sounds which the box will produce in response to the inputs and switch positions. You can use any ML software from the R library and make sure you cross-validate!
Participate here : https://www.kaggle.com/t/423f51ea45be4efea1ddb12fee969cfe
Predict Earnings of a Student
Predict future earnings of students based on some obvious parameters such as major and GPA as well as some less obvious such as number of professional connections and even number of parking tickets (there is little known powerful theory linking the number of parking tickets and being the member of the infamous top 0.1%). Turns out that student earnings are quite predictable!
Participate here : https://www.kaggle.com/t/951a9ad1d7e9444bb29b0dca65aed1cd
Predict Grades in Professor Moody class
Professor Moody has been teaching Statistics 101 classes for many years. His teaching evaluations went considerably south with the chief complaint: he DOES NOT seem to assign grades fairly. Students compared their scores among themselves and found quite a bit of discrepancy! But their complaints went nowhere since Professor promptly disappeared after posting the final grades and scores. A new brave TA managed to get hold of the carefully maintained grading table (spanning multiple years) of Professor Moody by messing a bit with Moody's computer. Well, let's not explain the details because he would get in trouble. Moreover, what he found was a remarkably structured account of how Professor Moody assigns his grades.
It seems Professor Moody is very alert in class. Remarkable but a little creepy, isn't it? Knowing this data, can you predict a grade for a student? Training data is available on Kaggle and lists the following attributes: major, seniority, score, attendance, questions, texting
Participate here : https://www.kaggle.com/t/8099c3c8bd5940928d102a6ddda0ee3d