Creates a lift chart. Additionally, a chart for the cumulative percent of responses captured is shown. A lift chart is used to evaluate a predictive model. The higher the lift (the difference between the "lift" line and the base line), the better performs the predictive model. The lift is the ratio between the results obtained with and without the predictive model. It is calculated as number of positive hits (e .g. responses) divided by the average number of positives without model. The data table must have a column containing probabilities and a nominal column, containing the actual labels. At first, the data is sorted by probability, divided into deciles, then the actual labels are counted and the average rate is calculated.
\n \nThe node supports custom CSS styling. You can simply put CSS rules into a single string and set it as a flow variable 'customCSS' in the node configuration dialog. You will find the list of available classes and their description on our documentation page .
\n \n \n ","shortDescription":"A lift chart using a JavaScript based charting library.","keywords":[],"deprecated":false,"streamable":false,"tags":["Views","JavaScript"],"icon":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAACXBIWXMAAAsSAAALEgHS3X78AAAAvklEQVQ4jaXTvQ2DQAwF4EdqJE9B7QEobiU28AhXUTMFNVdR4h2goUCCDV6KKFGkRIk4Xm19svxTACBJ5OYGACklpJTygeM40DRNdhckSRHhMAw8mxdgZgwh5AMkqao0s3zA3Ski7LouD3hHYox5wBNRVYYQ/g72K0CS+77TzCgiVFXGGOnuH3UFAI7j+HPPfd/D3TFNE9Z1RVmWqKoKbduiAMBt204dzjzPWJYFdV0/AF79hSu5DBQA8vsHcAe2zrDdRLPOXQAAAABJRU5ErkJggg==","views":[],"interactiveView":{"name":"Lift Chart","description":"Displays a lift chart visualization."},"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Display data","description":"Data table with data to display."}],"outPorts":[{"objectClass":"org.knime.core.node.port.image.ImagePortObject","color":"41be78","dataType":"Image","optional":false,"name":"Image","description":"SVG image rendered by the JavaScript implementation of the lift chart."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input data and view selection","description":"Data table containing the input data appended with a column, that represents the selection made in the lift chart view."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Data Options","fields":[{"name":"Response Column","description":"Nominal column containing the actual labels, e. g. if a person responded","optional":false},{"name":"Probability Column","description":"Numeric column containing the predicted score in probabilities of the model","optional":false},{"name":"Positive label (hits)","description":"The label for a positive value (hit).","optional":false},{"name":"Interval width in %","description":"The width in which the data is separated before counting.","optional":false},{"name":"Ignore missing values","description":"If checked, the missing values in Probability columns will be ignored without a warning message. Otherwise, they will be sorted to the end of the curves with a corresponding warning message.\n