Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 3
Supervised Learning Using Python
if flag:
break
PEr= .674 * (1- corr[0]*corr[0])/
(len(X_train[:,i])**(1/2.0))
if corr[0] < PEr:
X_train = np.delete(X_train,i,1)
index.append(X.columns[i1-1])
processed = i - 1
flag = False
break
return y_train, X_train, y, X_back, X, time_limit,
index
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