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Please check the attached datasheet

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Please check the attached datasheet. The Dataset contains Cardiotocographic measurements for 2126 patients that are summarized in this database and contains 22 variables.Below is the the detail of each variable:- 1. LB:- Fetal Heart Rate (FHR) baseline (beats per minute) 2. AC:- Accelerations per second 3. FM:- Fetal movements per second 4. UC:- Uterine contractions per second 5. DL:- Light decelerations per second 6. DS:- Severe decelerations per sec 7. DP:- prolonged decelerations per second 8. ASTV:- % of time with abnormal short term variability 9. MSTV:- mean value of short term variability 10. ALTV:- % of time with abnormal long term variability 11. MLTV:- mean value of short term variability 12. Width:- width of FHR histogram 13. Min:- minimum of FHR histogram 14. Max:- maximum of FHR histogram 15. Nmax:- #of histogram peaks 16. Zeros:- # of histogram zeros 17. Mode:- histogram mode 18. Mean:- histogram mean 19. Median:- histogram median 20. Variance:- histogram variance 21. Tendency:- histogram Tendency 22. NSP:- fetal states class code ( N=Normal; S=Suspect; P= Pathologic) • Upload the data. • Find the dimensions of this data set. • Summarize the data and showcase the structure of this dataset. • Investigate the correlation between the features using corrplot. Based on your results,which dimensions are relatively highly correlated? Your task is to determine which cardiotocographic measurements can best predict the NSP ? Develop models to be able to predict the fetal states class code (NSP) based on the cardiotocographic measurements. Develop at least two classifier models/strategies for comparison specifically, The naive Bayes and Random Forest Model. As part of your analysis make sure to include which cardiotocographic measurements are the top 3 discriminating factor for predicting NSP? Dr. Sidle, is planning to share your report with the Cardiac surgery team at Mount Sinai Hospital. The more comprehensive your report is, the better. Submit code and results, along with your detailed report/interpretation Due date is 24/05/2022