XGBoost Classifier | Machine Learning | Python API
eXtreme Gradient Boosting (𝐗𝐆𝐁𝐨𝐨𝐬𝐭) is a gradient-boosting algorithm for machine learning. 𝐗𝐆𝐁𝐨𝐨𝐬𝐭 builds a predictive model by combining the predictions of multiple individual models, often decision trees, in an iterative manner.
I used 𝗯𝗮𝗻𝗸𝗻𝗼𝘁𝗲_𝗮𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻.𝗰𝘀𝘃 dataset for this example. The dataset is available in the repository. It contains 2 types of entities in the target column: 𝟬 & 𝟭.
𝑮𝒊𝒕𝑯𝒖𝒃 𝒂𝒅𝒅𝒓𝒆𝒔𝒔: https://github.com/randomaccess2023/M...
𝙄𝙢𝙥𝙤𝙧𝙩𝙖𝙣𝙩 𝙩𝙞𝙢𝙚𝙨𝙩𝙖𝙢𝙥𝙨:
00:52 - Import required libraries
02:31 - Load 𝐛𝐚𝐧𝐤𝐧𝐨𝐭𝐞_𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧 dataset
04:44 - Separate features and classes
05:13 - Split the dataset
06:29 - Apply 𝐗𝐆𝐁𝐨𝐨𝐬𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐞𝐫
09:45 - Plot 𝐜𝐨𝐧𝐟𝐮𝐬𝐢𝐨𝐧_𝐦𝐚𝐭𝐫𝐢𝐱
14:01 - Print 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧_𝐫𝐞𝐩𝐨𝐫𝐭
14:37 - Feature importance
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