Page 24 - CT_AI_Class-8
P. 24

   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
   19   20   21   22   23   24   25   26   27   28   29