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       Students who spend less time in outdoor activities usually use gadgets more.

                         Higher screen time may lead to lower academic performance.
                         Students  who have adequate  sleep  and  limited  screen  time  generally  perform better
                         academically.

                         Increased outdoor activities usually help in reducing gadget usage.

                         Balanced routine with study, sleep and outdoor activity leads to healthier screen time
                         habits.

                      Now the trained model is tested using new student data.

                         Student        Gadget        Screen          Sleep       Outdoor       Academic        Screen
                                         Type           Time         Hours         Activity       Score       Time Level

                        Student 6       Mobile          5 hrs           6          30 min           66           High

                        Student 7       Laptop          2 hrs           8            1 hr           82           Low

                        Student 8       Tablet         3.5 hrs          7          45 min           72           High

                      After evaluating the model by using the test data, the mode predicts the following result:

                        Student     Gadget      Screen     Sleep     Outdoor     Academic        Actual       Predicted
                                      Type       Time      Hours      Activity      Score        Screen         Screen

                                                                                               Time Level     Time Level

                       Student 6     Mobile      5 hrs       6        30 min          66           High          High

                        Student 7    Laptop      2 hrs       8          1 hr          82           Low           Low

                       Student 8     Tablet     3.5 hrs       7       45 min          72           High          Low

                      According to the predicted data, we see:

                         Correct predictions = 2

                         Incorrect predictions = 1

                      Now, calculate the model accuracy:

                      Accuracy = (Correct Predictions / Total Predictions) × 100

                      Accuracy = (2/3) × 100

                      Accuracy = 66.7%

                      This means the model needs improvement and further refinement to achieve better performance.

                      If the model performance is not satisfactory, we improve the model. This process is called Model

                       22        Artificial Intelligence (CT & AI)-VIII

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