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!pip install scikit-optimize
import numpy as np
import pandas as pd
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score,classification_report
from sklearn.model_selection import train_test_split
import math
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import RandomizedSearchCV, cross_val_score
from scipy.stats import randint
import skopt
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
import torch
import torch.nn as nn
import torch.nn.functional as f
import torch.optim as optim
from torch.utils.data import DataLoader,random_split,TensorDataset
import os
import re
import pandas as pd
import librosa
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
from sklearn.ensemble import AdaBoostClassifier
from sklearn.metrics import accuracy_score,classification_report
from scipy.fft import fft