Predictor: Building analysis models takes too long
The time required to build an analysis model depends on the size of the input data (the total number of cases), the sample size, the number of attributes in the data, various factors regarding the statistics of the input data, and also the hardware and network characteristics and topology.
Solution
The following are ways to improve build performance:
Choose a smaller sample size. Larger samples result in greater accuracy — but only up to a point. For example, if you have a total of 1,000,000 input cases, you might start by building an analysis model with 5,000 cases, then 10,000, and so on, until you find that the accuracy of the model is no longer increasing significantly.
If your catalog contains a very large number of products (greater than 1,000) and you are building a Prediction model, it is advisable to set the values for the Input attribute fraction and the Output attribute fraction to values less than 1.0 in the Build Model dialog box.