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Alexis REVELLE 2024-04-04 11:46:15 +00:00
parent 1ebb83e3c4
commit f5b6075431
1 changed files with 4 additions and 4 deletions
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8
utils_ml.py
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@ -161,7 +161,7 @@ def preprocess(type_of_model, type_of_activity):
def draw_confusion_matrix(y_test, y_pred, model):
conf_matrix = confusion_matrix(y_test, y_pred)
sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=['Class 0', 'Class 1'], yticklabels=['Class 0', 'Class 1'])
sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=['Class 0', 'Class 1'], yticklabels=['Class 0', 'Class 1'], annot_kws={"size": 14})
plt.xlabel('Predicted')
plt.ylabel('Actual')
plt.title('Confusion Matrix')
@ -180,10 +180,10 @@ def draw_roc_curve(X_test, y_pred_prob, model):
plt.plot(fpr, tpr, label="ROC curve(area = %0.3f)" % roc_auc)
plt.plot([0, 1], [0, 1], color="red",label="Random Baseline", linestyle="--")
plt.grid(color='gray', linestyle='--', linewidth=0.5)
plt.xlabel("False Positive Rate")
plt.ylabel("True Positive Rate")
plt.xlabel("False Positive Rate", fontsize=14)
plt.ylabel("True Positive Rate", fontsize=14)
plt.title("ROC Curve", size=18)
plt.legend(loc="lower right")
plt.legend(loc="lower right", fontsize=14)
plt.show()
save_file_s3("Roc_curve_", type_of_activity, type_of_model, model)