PROJECT:1)By using one arff dataset you should apply three different classification algorithm andyou should compare the performances of those classification algorithms by using differentparameters...

PROJECT: 1) By using one arff dataset you should apply three different classification algorithm and you should compare the performances of those classification algorithms by using different parameters of the corresponding algorithms. While you are classifying the dataset use percentage split and k-fold cross validation to compare the results. You should explain all the attributes in detail and give brief information about the classifiers you are working with. Lastly use some items with unknown class labels and determine their classes with Weka. 2) Also apply the Apprior algorithm on another dataset that you choose. Explain all the rules and make some comments about the rules that you will find.PROJECT:<br>1) By using one arff dataset you should apply three different classification algorithm and<br>you should compare the performances of those classification algorithms by using different<br>parameters of the corresponding algorithms. While you are classifying the dataset use<br>percentage split and k-fold cross validation to compare the results. You should explain all<br>the attributes in detail and give brief information about the classifiers you are working with.<br>Lastly use some items with unknown class labels and determine their classes with Weka.<br>2)<br>Also apply the Appriori algorithm on another dataset that you choose. Explain all the<br>rules and make some comments about the rules that you will find.<br>

Extracted text: PROJECT: 1) By using one arff dataset you should apply three different classification algorithm and you should compare the performances of those classification algorithms by using different parameters of the corresponding algorithms. While you are classifying the dataset use percentage split and k-fold cross validation to compare the results. You should explain all the attributes in detail and give brief information about the classifiers you are working with. Lastly use some items with unknown class labels and determine their classes with Weka. 2) Also apply the Appriori algorithm on another dataset that you choose. Explain all the rules and make some comments about the rules that you will find.

Jun 07, 2022
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