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

Chapter 3
Supervised Learning Using Python
The following code is an example of a tuning classification condition:
y_test_increasing, predicted_increasing = predict(d1, True, False)
y_test_decreasing, predicted_decreasing = predict(d2, False, False)
prob_increasing = predicted_increasing[:,1]
increasing_mean = prob_increasing.mean()
increasing_std = prob_increasing.std()
prob_decreasing = predicted_decreasing[:,0]
decreasing_mean = prob_decreasing.mean()
decreasing_std = prob_decreasing.std()
ifi> 0:
mean_std_inc = (mean_std_inc + increasing_std)/2
mean_std_dec = (mean_std_dec + decreasing_std)/2
else:
mean_std_inc = increasing_std
mean_std_dec = decreasing_std
for j in range(len(y_test_decreasing)-1):
ac_status = y_test_increasing[j] + y_test_
decreasing[j]
pr_status = 0
if True:
inc = (prob_increasing[j] -
increasing_mean + mean_std_inc)
dec = (prob_decreasing[j] -
decreasing_mean + mean_std_dec)
ifinc> 0 or dec> 0:
ifinc>dec:
pr_status = 1
else:
pr_status = -1
else:
pr_status = 0
72