Datamining Weka software
$30 USD
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You are required to search for at least 20 different datasets with a maximum of 40 datasets. You are then required to apply the following classification techniques using the WEKA software on the chosen datasets:
(1) Decision tree (SimpleCart),
(2) Naïve Bayes, and
(3) K-NN (IBk) (with K taking the value of 1 up to the number of class labels in the dataset)
Once you have applied WEKA on all the datasets, it is required to accomplish the following tasks:
Compare the performance of the applied techniques you have achieved through WEKA.
Analyse the results with regards to the dataset properties.
Write a report of no longer than 1000 words detailing the results you have reached in (1) and (2) with recommendations on the choice of the data mining technique according to the features of the dataset.
项目ID: #7266598
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有10名威客正在参与此工作的竞标,均价$98/小时
Hi, I have very good experience with weka and data mining tasks. I can help you with your assignment and make it look professionally done. If you check my profile you will see that I am very suitable for your pro 更多
Hello, I can do this project. I used weka primarily for financial statistics but for this project I can find other data sets, run classifications and compare them. What about when data set is incompatible with class 更多