We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
Receive notification on the decision
Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Calculate classification probabilities for more than two classes
In SPSS Statistics and in open source languages (e.g. R), when you use a classification algorithm to classify more than two groups (e.g. 4 groups), the probabilities are provided for each class (not just the predicted class). This is important because it allows me to construct ROC charts and calculate the AUC for each class. I need these metrics to assess performance and also for presentations. If a sample is incorrectly classified the probabilities also allow me to assess the likelihood that a sample belongs to the another classes (individually).
For example, I may use modeler to classify an unknown rock type to one of four rock types, using one of the many great algorithms available in SPSS Modeler. Before deplying this model I have already constructed a cross validated model as an SPSS Modeler stream, but where samples are misclassified I cannot assess the probability of the sample being classified as one of the other 3 groups - this is important. I also cannot use the results in Modeler, or in R, to generate ROC charts or calculate the area under the curve. I need the ROC chart and AUC for company reports. I am OK with making the ROC charts and calculating the AUC outside of modeler, but I cannot do this without getting the probabilities from Modeler.
Unfortunately in my field many of our classification problems are not binary.
Do not place IBM confidential, company confidential, or personal information into any field.