Drag the Aggregate operator into the process. Select Product ID for the left and right key attributes. In the Parameters panel find the key attributes field. Connect Retrieve Transactions to the other Join input port. Connect the output port of Retrieve Products to an input port of Join 4. Drag the Products data and the Transactions data into the Process panel. Third= 709 Jika FilterExamples, dengan passenger Class = second, maka akan menghasilkan 277 Jika FilterExamples, dengan passenger Class = First, maka akan menghasilkan 323 = total 1309 Untuk atribut passenger class mempunyai 3 distinct value yaitu, first, second dan third Join 2 data tables Data : transactions (2,328 records) Products (178 records) There is connection between ProductID in transactions with ProductID in products 1. Instead of typing, you can click on the magic wand and select Third from the list. Select passenger Class on the left, equals in the middle, and type Third in the box on the right. Click Filter Examples to select it, then click Add Filters in the Parameters panel to define a filter. Connect the output port of Titanic with the input port of Filter Examples. Drag Filter Examples into the Process panel. Drag the Titanic data from the Samples repository into the Process panel. Press the Run button Titanic Training data Titanic Training data’statistic Or Data Titanic 1. Connect the first output ("mod") of the Decision Tree with the result port ("res") on the right side of the Process panel. Connect the output port ("out") of Retrieve Titanic Training with the input port ("tra" for "training") of Decision Tree. Drag in the Decision Tree operator and drop it after Retrieve Titanic Training. Decision Tree Model Drag the Titanic Training data from the Samples repository into the Process panel. Humidity is strongly related to high temperature. Also other 0 above shows that the correlation between Humidity and temperature is 0 as strongly positive correlated.0 above shows that the correlation between Temperature and Humidity is 0 as strongly positive correlated.O -1 indicates a perfectly negative linear correlation between two variables o 0 indicates no linear correlation between two variables o 1 indicates a perfectly positive linear correlation between two variables the linear association between two variables.understanding the relationship between two variables.Execute by Clicking icon Correlation matrix
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