![]() ![]() The weather database contains five fields - outlook, temperature, humidity, windy and play. On the left side, notice the Attributes sub window that displays the various fields in the database. The table contains 5 attributes - the fields, which are discussed in the upcoming sections. ![]() There are 14 instances - the number of rows in the table. You can infer two points from this sub window − It shows the name of the database that is currently loaded. Let us first look at the highlighted Current relation sub window. This screen tells us several things about the loaded data, which are discussed further in this chapter. When you open the file, your screen looks like as shown here − option under the Preprocess tag select the weather-nominal.arff file. To demonstrate the available features in preprocessing, we will use the Weather database that is provided in the installation. This is the done in the preprocessing module. Thus, the data must be preprocessed to meet the requirements of the type of analysis you are seeking. For example, the data may contain null fields, it may contain columns that are irrelevant to the current analysis, and so on. The data that is collected from the field contains many unwanted things that leads to wrong analysis.
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