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3 Generate test design 3.1 Task Generate test design Activities Check existing test designs for each data mining goal separately. Decide on necessary steps (number of iterations, number of folds etc.). Prepare data required for test. (You can use 66% of records for model Building and rest for Testing) O 3.2 Build model Task - Build model Run the modeling tool on the prepared dataset to create one or more models. (Using Knime Tool as shown in the lab). 3.3 Output Parameter settings Activities - Set initial parameters. Document reasons for choosing those values. Activities - Run the selected technique on the input dataset to produce the model. Post-process data mining results (e.g. editing rules, display trees) o O 3.4 Output Model description Activities - Describe any characteristics of the current model that may be useful for the future. Give a detailed description of the model and any special features. Activities - State conclusions regarding patterns in the data (if any); sometimes the model reveals important facts about the data without a separate Assessment process (e.g. that the output or conclusion is duplicated in one of the inputs). O 3 Generate test design 3.1 Task Generate test design Activities Check existing test designs for each data mining goal separately. Decide on necessary steps (number of iterations, number of folds etc.). Prepare data required for test. (You can use 66% of records for model Building and rest for Testing) O 3.2 Build model Task - Build model Run the modeling tool on the prepared dataset to create one or more models. (Using Knime Tool as shown in the lab). 3.3 Output Parameter settings Activities - Set initial parameters. Document reasons for choosing those values. Activities - Run the selected technique on the input dataset to produce the model. Post-process data mining results (e.g. editing rules, display trees) o O 3.4 Output Model description Activities - Describe any characteristics of the current model that may be useful for the future. Give a detailed description of the model and any special features. Activities - State conclusions regarding patterns in the data (if any); sometimes the model reveals important facts about the data without a separate Assessment process (e.g. that the output or conclusion is duplicated in one of the inputs). O