In the experimental results, all the three algorithms with the UCI HAR datasets achieve nearly the same accuracy of 98%. The RF algorithm with the WISDM dataset has the accuracy of 90.69%,better than the others.
In this paper, we perform three classification algorithms, Sequential Minimal Optimization (SMO), Random. Forest (RF), and Simple Logistic (SL) with the two HAR ...
In this paper, we perform three classification algorithms, Sequential Minimal Optimization (SMO), Random Forest (RF), and Simple Logistic (SL) with the two HAR ...
In the experimental results, all the three algorithms with the UCI HAR datasets achieve nearly the same accuracy of 98%.
In this paper, we perform three classification algorithms, Sequential Minimal Optimization (SMO), Random Forest (RF), and Simple Logistic (SL) with the two HAR ...
Title: Comparative analysis of HAR datasets using classification algorithms ; Authors: Nayak Suvra · Panigrahi Chhabi Rani · Pati Bibudhendu · Nanda Sarmistha
A Comparative Analysis of Classification Algorithms on ...
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Sep 4, 2024 · Comparative analysis has been carried out using the performance evaluation measures of accuracy, precision, and F-measure. We specify features ...
Jun 23, 2022 · Bibliographic details on Comparative analysis of HAR datasets using classification algorithms.
Title: Comparative analysis of HAR datasets using classification algorithms ; Authors: Nayak Suvra · Panigrahi Chhabi Rani · Pati Bibudhendu · Nanda Sarmistha
There are various classification algorithms being used to classify various data sets. They are based on different methods such as probability, decision tree, ...
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