data_mining_assignment_2's People
data_mining_assignment_2's Issues
Hyperparamter tuning multinomial naive bayes
- try values between 0 and 1 for Laplace smoothing and cross-validate
Data pre-processing
add lemmatizationadd retrieving only alphabetical symbols(already done byremovePunctuation
)make extra training sets with increased maximum sparsity
Hyperparameter tuning random forest
build loop around current function to find ntreesimplement adaptive resampling scheme instead of tuning grid
Model comparison and results
collect performance measures for the 8 modelssave selected hyperparamtersextract top five features based on mutual infromation from each model and make barplots
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