MBaltz

"""
Esse script faz uso da base de dados GLASS, e é utilizado para averiguar a
    execução do modelo SVM (com busca de kernels) e Rede Neural (com busca de
    hiperparâmetros)
    
Alunos: Clemerson Oliveira, Othon Vinicius e Mateus Baltazar
"""


import optuna

MBaltz

from time import time
import numpy as np
from base_dados.BalancedScale import get_dataset
from sklearn import svm
from sklearn.model_selection import RepeatedKFold
from sklearn.metrics import confusion_matrix
from sklearn.metrics import precision_score

dir_database = "./base_dados/balance-scale.data"
# seeds: 24, 47, 33, 29, 47, 48, 49, 6, 19

MBaltz

import numpy as np
from time import time, sleep
from random import shuffle
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder
from sklearn.neighbors import KNeighborsClassifier

################################################################################
# Carrega base de dados