This feature enables you to include a set of percentages indicating how much each field in your dataset contributed to a given anomaly score when creating a Batch Anomaly Score. You can include those values in your output file either with BigML Dashboard or the API. This will give you a better understanding of your anomalous instances as it will reveal which factors are causing them to be seen as anomalous.

You can quickly score multiple lines of data through BigML's Batch Anomaly Score. The output can be downloaded as a .csv and/or you can use it to automatically create a new dataset.

You can score individual data points against your anomaly detector by using the web interface. Simply input the variables and BigML will provide you with an anomaly percentage (a higher score reflects greater anomaly).