Data Mining Case Study 2022

Running Head: DATA 1
Data Mining
Name of Student
Date

DATA 2
Classification Performance Evaluation
In this part, there will be a comparison of the performance of different classification models on
three datasets. What this means is that all the five models are run on one dataset and then we
check on the actual performance all the models on every dataset.
A. Iris Dataset
We start to think of the statistical alignment of the dataset and the graphs and the results of the
descriptive statistics per variable.
figure 1
From figure 1 it is very clear to see the actual instances under consideration are 150 and a total of
5 variables.
figure 2
From figure 2 above it is clear to see that the name of the variable as sepal length and the number
of distinct values sum up to 35 in total. The variable type is numeric and no cell has a missing
entry. The constants that are recorded are the mean, maximum, minimum, standard deviation

DATA 3
values (Eldén, 2019). The proceeding figures will give all the descriptive statistics for the
proceeding variable case.
figure 3
figure 4
figure 5
figure 6