Abstract: This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Abstract: This work explores student's academic performance using decision tree algorithm having parameters like Student's Academic Information and Students Activity. We collected records of 22 ...

We developed a novel algorithm to train robust decision tree based models (notably, Gradient Boosted Decision Tree). This repo contains our implementation under the XGBoost framework. We plan to merge ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Wolff-Parkinson-White (WPW) syndrome is associated with arrhythmia such as supraventricular tachycardia due to atrioventricular reciprocating tachycardia, atrial fibrillation (AF), and sudden death ...

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...

When you visit a hospital, artificial intelligence (AI) models can assist doctors by analysing medical images or predicting patient outcomes based on historical data. If you apply for a job, AI ...

Some artificial intelligence algorithms, particularly neural networks, have internal processes that remain largely unknown. This lack of transparency is one of the sources of biases and hallucinations ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...