junos
/
stress_at_work_analysis
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Rename methods to make them consistent with regression methods.

master
junos 2023-05-18 18:55:31 +02:00
parent 45441c288d
commit 1318ae3609
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
machine_learning/helper.py
View File

@ -445,7 +445,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(dummy_score)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "Dummy"
scores_df["method"] = "dummy_classifier"
scores = pd.concat([scores, scores_df])
del dummy_class
del dummy_score
@ -465,7 +465,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(log_reg_scores)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "logistic_reg"
scores_df["method"] = "logistic_regression"
scores = pd.concat([scores, scores_df])
del logistic_regression
del log_reg_scores
@ -485,7 +485,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(svc_scores)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "svc"
scores_df["method"] = "SVC"
scores = pd.concat([scores, scores_df])
del svc
del svc_scores
@ -525,7 +525,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(sgdc_scores)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "stochastic_gradient_descent"
scores_df["method"] = "stochastic_gradient_descent_classifier"
scores = pd.concat([scores, scores_df])
del sgdc
del sgdc_scores
@ -545,7 +545,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(rfc_scores)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "random_forest"
scores_df["method"] = "random_forest_classifier"
scores = pd.concat([scores, scores_df])
del rfc
del rfc_scores
@ -565,7 +565,7 @@ def run_all_classification_models(
scores_df = pd.DataFrame(xgb_scores)[test_metrics]
scores_df = aggregate_and_transpose(scores_df, statistics=["max", "mean"])
scores_df["method"] = "xgboost"
scores_df["method"] = "XGBoost_classifier"
scores = pd.concat([scores, scores_df])
del xgb_classifier
del xgb_scores