Detecting Illegal Online Gambling (IOG) Services in the Mobile Environment

Algorithm 3

ML algorithm, KoNLPy, and matching options.

	from sklearn.model_selection import GridSearchCV
	from sklearn.model_selection import train_test_split
	class classifier:
	…
	def adapt(self, opt1, opt2, opt3, grid = True):
	…
	self.grid_cv = GridSearchCV(self.clf, self.param_grid, cv = 4, scoring = “accuracy,” verbose = 2, n_jobs = −1).
	…
	def get_data(self):
	…
	self.train_x, self.test_x, self.train_y, self.test_y = train_test_split(self.original_data.text.tolist(), self.original_data.score.tolist(), test_size = 0.25, shuffle = True, stratify = self.original_data.score.tolist(), random_state = 0).