Homework 10 Rubric

Submission and Other (6 Points)

Code	Points	Description
A1	2	Submission is zip containing cancerpredict.py
A2	2	Zip is named after uni, unzips to folder with uni-hw10
A3	2	cancerpredict.py is normal python files

Each one all-or-nothing

Code	Points	Description
B1	3	`readCSV` correctly loads dataset and drops ID column
B2	6	`splitDataset` shuffles and splits dataset into testing/training
B3	4	`runKNNClassifier` setup correctly and returns accuracy in correct range 85–95
B4	4	`runSVMClassifier` setup correctly and returns accuracy in correct range 85–95

Modifiers:

B1 (-1) hardcoded filename in readCSV (hardcoding in main is OK, no deduction)
B1 (-1) Not dropping ID column
B1 (-1) Not dropping ID column in-place
B2 (-3) Missing/incorrect shuffling
B2 (-1) unnecessary dataset.copy() and/or other dataset-copying action like reset_index without inplace=True, etc
B2 (-3) Incorrect splitting
B2 (-2) Splitting ratio hardcoded
B4/B5 (-1) any number of unnecessary arguments in KNeighborsClassifier, SVC (only n_neighbors is needed for KNeighborsClassifier, chatgpt suggests other arguments including linear kernel, etc)

Uses code C, -2 each.

This is a non-exhaustive list, see comments for more information.

copy-pasted code in multiple spots (look for ravel())
debug print statements in functions or in top level
spaces before function calls
absence of any inline comments
commenting too much
remove TODO and pass
excessive or inconsistent spacing, including lines with comments (comment should align with line)
mixing f-strings and format strings