Conclusions: Multiple molecular and clinicopathological variable integrated decision tree algorithms may individually predict the recurrence pattern for NPC. This decision tree algorism provides a ...

Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables ...

The original risk estimation algorithm and the CART decision tree are shown in Figures 1 and 2, respectively. P P P Results from the comparisons of the 3 classification approaches are shown in ...

Additionally, a decision tree algorithm determines the best plan in light of the uncertainties of weather and weather forecasts. This air mission planning algorithm omits many of the details in the ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...