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added loopity loop function call to extract mean values for each model's metric from nested dict (2/3 levels)

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Tanushree Tunstall 2022-03-14 18:46:59 +00:00
parent 29306e77ee
commit a1631ea54b
3 changed files with 321 additions and 8 deletions
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loopity_loop_CALL.py
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@ -19,11 +19,6 @@ model_name = 'Logistic Regression'
model_name = 'Naive Bayes'
model_name = 'K-Nearest Neighbors'
model_name = 'SVM'
#%%
model_metric = 'F1_score'
@ -48,10 +43,9 @@ print(log_reg_mccM)
log_reg_mccdf = pd.DataFrame({model_name: [log_reg_mccM]}, index = [model_metric])
log_reg_mccdf
#%%
################################################################
# extract items from wwithin a nested dict
#%% Classification Metrics we need to mean()
classification_metrics = {
'F1_score': []