The point of the exertion is to action incongruous agent education algorithms for extract designation as well-mannered-mannered as the work evaluation. In observation, you are requried to conduct 10 embrace peevish validation (https://scikit-learn.org/stable/modules/cross_validation.html) in the luxuriance.
The basisset can be download from here: https://github.com/unt-iialab/INFO5731_FALL2020/blob/master/In_class_exercise/exercise09_datacollection.zip. The basisset contains two files cortege basis and examination basis for feeling dissection in IMDB critique, it has two categories: 1 represents unconditional and 0 represents privative. You want to disagree the luxuriance basis into luxuriance and validate basis (80% for luxuriance and 20% for validation, https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6) and effect 10 embrace peevish validation period luxuriance the classifier. The laordeal cortegeed example was laordeal evaluated on the examination basis.
(4) Decision tree
(5) Random Forest
(4) F-1 score
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