- Short Answer: Classification
a. Define the term “data classification” as you have come to understand it through working with the Weka data mining tool.
b. Explain the data classification process.
c. Describe an example of how data classification is used in the workplace. - Weka: Discretization – Launch Weka open the Explorer and load glass.arff.
a. Apply Discretize, in the equal-width (default) mode and take a screenshot of the histogram and submit it with your report.
b. Apply Discretize, in the equal-frequency mode and take a screenshot of the histogram and submit it with your report.
c. Apply PKIDiscretize and take a screenshot of the histogram.
d. Question: What do you observe when you compare the histograms obtained? - Short Answer: Data Analysis
How do qualitative analysis and quantitative analysis differ from one another in their meaning and in their applications? - Calculation: Variance and Standard Deviation
Find the sample variance / standard deviation for the following data set: 1245, 1255, 1654, 1547, 1787, 1989, 1878, 2011, 2145, 2545, 2656.
a. Variance:
b. Standard deviation: - Calculation: Variance and Standard Deviation (please use the data in the table below)
SCORE 43 54 56 61 62 66 68 69 69 70 71 72 77 78 79 85 87 88 89 93 95 96 98 99 99
RANK 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
a. What is the median?
