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Limitation of Prediction Model

26 Feb 2024

Last week's races saw good results from various models. Most of the hit rates were over 40%. The highest was the Random Forest model at 47%. Unfortunately, it still didn't surpass the 50% mark in Monkey's view. This was due to upsets in the third and sixth races, which dragged …

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Horse Racing (Random Forest)

24 Feb 2024

I have been conducting predictions using Naive Bayes and Logistic Regression, tracking the results over time. To measure accuracy, each algorithm selects the top 3 horses in each race for Place (Top 3). At the end of each race date, the system updates the accuracy results by calculating total hits …

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Horse Racing (Logistic Regression)

24 Feb 2024

Introduction A few weeks ago, I developed a horse racing prediction model using the Naive Bayes algorithm. After testing it with historical data, I found that the accuracy for predicting the top 1–3 positions (Places) was around 40%. However, most of the selected horses were popular picks with low dividend …

About Monkey

The monkey believes that facts and science are the best ways to make decisions and predictions. That's why it created this website, to make different types of machine learning predictions and verify their accuracy. Although many people say that horse racing is unpredictable and random, I want to see what level of accuracy can be achieved by applying machine learning to this data.