Question: this subject is data mining and warehousing Data Preprocessing Using Weka View the weather data with the dataset editor and answer the following question. 1.

 this subject is data mining and warehousing Data Preprocessing Using Weka
this subject is data mining and warehousing

Data Preprocessing Using Weka View the weather data with the dataset editor and answer the following question. 1. Identify the class value of instances 8? 2. Find the number of numeric attributes and nominal attributes does weather. numeric data set have? 3. Identify the relation name, number of instances and attributes of the weather.nominal dataset. 4. List down the possible values of the attribute Windy and find the number of instances in each value. ? 5. Find the possible values of attribute humidity in weather.nominal dataset? 6. Describe the numeric statistics for humidity attributes (name, type, missing, distinct, and unique, min, max, mean and StdDev) in WE er numeric dataset? Type here to search

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