Alcuidly. 01.0070 T/-0.0370 (IIIICIU dveldge. 01.0070) True No True Yes Class precision 87.41% 618 89 Predicted No Predicted Yes Class recall 93 200 68.26% 86.92% 169.20% Based on the decision tree, explain what actions should be taken to prevent customers from churning? Write your answer for a senior business manager or similar non-technical reader. An analyst employed at an energy provider is asked to predict the overall energy demand that the company could expect from customers in 2020, based on a dataset of customers' annual energy consumption in 2019 and whether customers have solar installed on their roofs. The analyst extracted a sample of this dataset (see below). Assume this sample is representative of the broader dataset. Customer ID Annual Consumption 2019 Solar Installed 01 511 Yes 02 723 No 103 908 No 04 49223 No 05 682 Yes 06 9724 No 07 2212 No 08 1445 Yes 09 1644 10 2169 No 10 2169 No 12 908 Yes 13 982 Yes 14 Yes Alcuidly. 01.0070 T/-0.0370 (IIIICIU dveldge. 01.0070) True No True Yes Class precision 87.41% 618 89 Predicted No Predicted Yes Class recall 93 200 68.26% 86.92% 169.20% Based on the decision tree, explain what actions should be taken to prevent customers from churning? Write your answer for a senior business manager or similar non-technical reader. An analyst employed at an energy provider is asked to predict the overall energy demand that the company could expect from customers in 2020, based on a dataset of customers' annual energy consumption in 2019 and whether customers have solar installed on their roofs. The analyst extracted a sample of this dataset (see below). Assume this sample is representative of the broader dataset. Customer ID Annual Consumption 2019 Solar Installed 01 511 Yes 02 723 No 103 908 No 04 49223 No 05 682 Yes 06 9724 No 07 2212 No 08 1445 Yes 09 1644 10 2169 No 10 2169 No 12 908 Yes 13 982 Yes 14 Yes