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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

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In: AI, Algorithms, Deep Machine Learning

k-means clustering is a method of vector quantization which finds good inter similarity between cluster members and intra-similarity between other clusters. k-means clustering partitions n observations into k clusters in which each observation belongs to the cluster with the nearest mean, These means are chosen so that in the nextContinue Reading