https://blogarious.kairopath.net/categories/machine-learning/ Recent content in Machine-Learning on Blogarious Hugo en-us Sun, 09 Mar 2025 00:00:00 +0000 https://blogarious.kairopath.net/posts/2025-03-09-the-boss-and-the-ai/ Sun, 09 Mar 2025 00:00:00 +0000 https://blogarious.kairopath.net/posts/2025-03-09-the-boss-and-the-ai/ <p>The Boss: AI, give me the file.</p> <p>AI: Boss, may I know which file?</p> <p>The Boss: You don&rsquo;t known which file? You have been with me 5 days already, you still don&rsquo;t know what I am talking?</p> <p>AI: Boss, can you describe which file it is, so that I can help?</p> <p>The Boss: Useless AI, don&rsquo;t you know you are replaceable? You are fired!!</p> <p>(Next day)</p> <p>The Boss: AI, tell me a joke.</p> https://blogarious.kairopath.net/posts/2017-05-17-roc-auc-wtf/ Wed, 17 May 2017 00:00:00 +0000 https://blogarious.kairopath.net/posts/2017-05-17-roc-auc-wtf/ <p>These few days I was spending my whole time to understand this ROC (receiver operating characteristic) curve. In machine learning, ROC is a very common way to evaluate the prediction performance. The AUC (area under curve) of ROC indicates the accuracy of prediction of a classifier.</p> <p>If you wish to learn more, these two links are the best resources: <a href="http://www.dataschool.io/roc-curves-and-auc-explained/">here</a> and <a href="https://www.researchgate.net/publication/222511520_Introduction_to_ROC_analysis">here</a>.</p> <p>I searched through tutorial and Q and A sites on how to do the plot of ROC and calculating the AUC. The answers were telling me about &ldquo;cut-off&rdquo;, &ldquo;threshold&rdquo;, or some weird terms. And some answers were telling me to use R package to plot the graph. WTF? I know all of these things. My question was, &ldquo;How can I plot ROC curve with my classifier?!&rdquo;</p>