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Logistic Regression is the most important foundational algorithm in Classification Modeling. In 2 minutes, I'll teach you what took me 2 months to learn. Let's dive in:
1. Logistic regression is a statistical method used for analyzing a dataset in which there are one or more independent variables that determine a binary outcome (in which there are only two possible outcomes). This is commonly called a binary classification problem.
2. The Logit (Log-Odds): The formula estimates the log-odds or logit. The right-hand side is the same as the form for linear regression. But the left-hand side is the logit function, which is the natural log of the odds ratio. The logit function is what distinguishes logistic regression from other types of regression.
3. The S-Curve: Logistic regression uses a sigmoid (or logistic) function to model the data. This function maps any real-valued number into a value between 0 and 1, making it suitable for a probability estimation. This is where the S-curve shape comes in.
4. Why not Linear Regression? The shape of the S-curve often fits the binary outcome better than a linear regression. Linear regression assumes the relationship is linear, which often does not hold for binary outcomes, where the relationship between the independent variables and the probability of the outcome is typically not linear but sigmoidal (S-shaped).
5. Coefficient Estimation: Like linear regression, logistic regression calculates coefficients for each independent variable. However, these coefficients are in the log-odds scale.
6. Coefficient Interpretation (Log-Odds to Odds): Exponentiating a coefficient converts it from log odds to odds. For example, if a coefficient is 0.5, the odds ratio is exp(0.5), which is approximately 1.65. This means that with a one-unit increase in the predictor, the odds of the outcome increase by a factor of 1.65.
7. Model evaluation: The evaluation metrics for linear regression (like R-squared) are not suitable for assessing the performance of a model in a classification context. For Logistic regression, I normally use classification-specific evaluation metrics like AUC, precision, recall, F1 score, ROC curve, etc.
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Old joke about agnostic technologists building artificial super intelligence to find out if there’s a God.
They finally finish & ask the question.
AI replies: “There is now, mfs!!”
Barusan banget buka tiktok dan lewat fyp ada p e j a b a t yang nyolong karya orang lain.
Ini karena bentuk vt-nya dibuat gambar, jadi semua gambar gue download dan tercantum akun tiktoknya di gambar. Bisa cek lgsg krn di twitter ini sepi yh bund.
Malin Kundang boleh dibilang layak dihukum menjadi batu gara-gara tidak sudi mengakui wanita lusuh dan kotor itu sebagai ibunya. Lalu, hukuman apa yang pantas untuk anak yang malah sengaja membuat orang tuanya tampak kotor demi konten? #TerminalMojok https://t.co/fyiGVvHOAa
Jaga-jaga emosi. Nggak semua harus dibawa dan dikomplen di medsos. Jangan-jangan nanti kontraproduktif dan cuman jadi bahan template baru netizen, wkwkwk.