TKINTER, DATA SCIENCE, AND MACHINE LEARNING by Rismon Hasiholan Sianipar

Author:Rismon Hasiholan Sianipar
Language: eng
Format: epub
Tags: Balige Publishing
Publisher: SPARTA PUBLISHING

This method provides a comprehensive visual summary of a model's performance, making it easier to assess both its classification accuracy (through the confusion matrix) and its ability to discriminate between classes (through the ROC curve).

Plotting True Values versus Predicted Values Diagram and Learning Curve

In Helper_Plot class, define a new method named plot_real_pred_val_learning_curve() as follows:

#Plots true values versus predicted values diagram and learning curve

def plot_real_pred_val_learning_curve(self, model, X_train, y_train, X_test, y_test, ypred, name, figure, canvas):

figure.clear()

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