FardinAhsan146
/ base.py
Created
February 18, 2022 21:36
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| import numpy as np | |
| ACCURACY = 0.95 # P(B|A) | |
| FP = 1 - ACCURACY # P(B|~A) | |
| base_rates = np.linspace(0.01,1) # P(A) | |
| not_rates = 1 - base_rates # P(~A) | |
| # P(A|B) | |
| hyp_evd = ((ACCURACY)*(base_rates))\ | |
| /(((base_rates)*(ACCURACY))+((not_rates)*(FP))) |
FardinAhsan146
/ base.py
Created
February 18, 2022 21:32
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy | |
| ACCURACY = 0.95 # P(B|A) | |
| FP = 1 - ACCURACY # P(B|~A) | |
| base_rates = np.linspace(0.01,1) # P(A) | |
| not_rates = 1 - base_rates # P(~A) | |
| # P(A|B) | |
| hyp_evd = ((ACCURACY)*(base_rates))\ | |
| /(((base_rates)*(ACCURACY))+((not_rates)*(FP))) |
FardinAhsan146
/ AutoML_data_preparation_AIA023.ipynb
Created
March 13, 2021 12:18
— forked from yufengg/AutoML_data_preparation_AIA023.ipynb
Notebook for preparing a CSV for Google Cloud AutoML Vision
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