The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.
Predicts the class per row based on the learned model. The class probability is the product of the probability per attribute and the probability of the class attribute itself.
The probability for nominal values is the number of occurrences of the class value with the given value divided by the number of total occurrences of the class value. The probability of numerical values is calculated by assuming a normal distribution per attribute.
0 | Naive Bayes Model |
1 | Data to classify |
0 | Classified data |