Establish the proper prediction threshold

Suppose for a ML classification problem X, I have three labels, i.e. 1, 0 and -1. For some reasons, I obtained bad accuracy. So I decided to change the number of labels to two, i.e. 1 and -1. That way I got much better result. Now, when I am in the prediction phase, I want first to find what is my threshold level for precision/recall. If the prediction is not within those levels, assume 0. Programmatically, what is the proper way to establish that threshold?

Evner: Maskinoplæring

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( 60 bedømmelser ) Ste-Julie, Canada

Projekt ID: #17422939

7 freelancere byder i gennemsnit $138 på dette job


Task can be done by drawing a sensitivity vs specificity plot for each threshold and identifying the cutt off point where the two curves meet. This point will give the maximum accuracy. Relevant Skills and Experience Flere

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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. Relevant Skills and Experience I have wo Flere

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I need to look at the code to comment further on this project Relevant Skills and Experience I'm actively learning machine learning and deep learning for the past two years. Proposed Milestones $35 CAD - complete

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It is purely depend on the class distribution, if it is case of imbalanced classification, then different set of metric and algorithms will work. One has to explore dataset and its characteristics Relevant Skills and Flere

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the need know how the algorithm are defining the thresholds of a problem. is necessary understand what is the algorithm and the function that the use. Relevant Skills and Experience I have experience with Machine Lear Flere

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I can help you with your threshold problem, I have great experience with neural networks and I have done many projects. Relevant Skills and Experience Data Analyst, python , deep learning Proposed Milestones $35 CAD Flere

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Merging 3 outcomes(-1,0,1) leads to creation of imbalanced o/c [login to view URL] to employ ML models like Boost/NN or LR to get the predicted prob to later employ cost based or ROC to get threshold prob Relevant Skills Flere

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