statistical

Hidden Markov Model (HMM)

On: September 8, 2019

In: AI, Algorithms, Autonomous Vehicles, Cars, Computer Vision, Drones, NLP, Reinforcement Learning

Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobservable (i.e. hidden) states. In simpler Markov models (like a Markov chain), the state is directly visible to the observer, and therefore the state transition probabilities areContinue Reading

Harmonic Mean Of Precision and Recall – F1 Score

On: August 9, 2019

In: Algorithms

In statistical analysis of binary classification, the Harmonic mean in ML is a measure of a test’s accuracy and is known as F1 score or subcontrary mean. The F1 score (Harmonic mean) is combined by using the recall and the precision , and is better then taking the arithmetic meanContinue Reading