Num | Model Name |
---|---|
1 | Bagging Models |
2 | Bayesian Models |
3 | Boosted Models |
4 | Decision Trees |
5 | Discriminant Analysis Models |
6 | Neural Networks Model |
7 | Prototype Models |
8 | Regression Models |
9 | Support Vector Models |
1 | Refresh Button: Click on this button if you don't see the Make Predictions button on the menu bar. |
2 | Make Predictions: This is an optional button to use if you want to make or update the predictions based on the current model that has been fit to the data. |
1 | Fitted Model:
The model that has been fit for the training data and stored on the worksheet is displayed here. If no model exists or the model was developed for a different data set, you will first need to fit a model before using the predictions module. The fitted model displays the following information:
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2 | Setup: Displays the setup dialog box. The setup dialog box only contains the destains of the fitted model found on the worksheet and the number of rows of predicted data found on the worksheet. | ||||||||||||||||
3 | Data: Displays the data dialog box. The data dialog box can be used to upload new prediction data onto the model prediction area of the worksheet. Note that you can import the data from tables or directly type in the input values on the worksheet. | ||||||||||||||||
4 | Verify: The verify dialog box can check for errors in the prediction model inputs. | ||||||||||||||||
5 | Predict Data: Shows the number of rows of prediction data defined on the worksheet. Note that only completed rows of data (no missing values) are used to make predictions. If you have missing or unknown input values, use the Pre-Processing tool to estimate the best possible model inputs before using the Prediction module. | ||||||||||||||||
6 | Help File: Opens the help file for this analysis tool. | ||||||||||||||||
7 | Cancel Button: This closes the dialog box without making any changes to the settings. | ||||||||||||||||
8 | OK Button: This tries to run the RScript program to update the predictions for any inputs defined on the worksheet and update the prediction results. |
1 | Required Columns: The column names used to develop the prediction model are displayed here. You must enter the input data for each column on the worksheet to make new predictions. |
2 | Available Data: Here, you can see the list of data available in the current workbook. If necessary, you can use the search bar to filter the list of displayed tables and columns. If your input data columns are in any tables, you can drag and drop them to the right. Note that you do not need to import data from tables; you can directly type in the input values on the worksheet. |
3 | Factor Variables: It shows the list of columns that have been selected to import data. The columns should be specified in the same order as those used for the original model development. For example, if the first column was cyl, the data column containing cyl information should be selected first. For this example, seven columns of input data are required for analysis. |
4 | Import Data: Once all the columns have been specified, click the Import Data button to import the data from the tables onto the worksheet to make predictions. Note that importing prediction input data from tables is not required, and you can directly copy and paste the required data into the worksheet model predictions area. |
1 | Item: The left-hand side shows the major tabs and the items checked within each section |
2 | Status: The right-hand side shows the status of the checks. |
3 | Overall Status: The overall status of all the checks for the given analysis is shown here. The overall status check shows a green thumps-up sign if everything is okay and a red thumps-down sign if any checks have not passed. Note that you cannot proceed with generating analysis results for some analyses if the overall status is not okay. |
1 | Heading: Displays the names of the columns for each of the input factors and the output response in the last column. |
2 | Values: Displays the input values for each factor and the corresponding output response in the last column. |
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