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KaggleチュートリアルTitanicで上位2%以内に入るノウハウ - Qiita
WebOct 1, 2024 · random_forest = RandomForestClassifier(n_estimators=100) random_forest.fit(X_train, y_train) y_pred = random_forest.predict(X_test) random_forest.score(X_train, y_train) Wahoo! Over 98% accuracy using this model! Kaggle really is a great source of fun and I’d recommend anyone to give it a try. Web6、Kaggle_public. 阿水的数据竞赛开源. finlay-liu/kaggle_public. 7、Pytorch Kaggle Starter. Pytorch Kaggle starter是一个用于管理Kaggle竞赛中的实验的框架。它通过提供 … city of carlsbad safety training center
Kaggle(48) - タイタニック生存予測 - 答え合わせ PythonとRPA …
WebSep 21, 2024 · Kaggle Titanic. This repository presents my submission in the Titanic: Machine Learning from Disaster, Kaggle Competition. In this competition, the goal is to perform a 2-label classification problem: predict which passengers survived the tragedy. Kaggle offers two datasets. One training (the labels are known) and one testing (the … WebOct 16, 2024 · After submitting the predictions, Kaggle gave this a score of 81.5 accuracy, placing it in the top 95 percetile on the leaderboard. ... random_forest = RandomForestClassifier(n_estimators=100 ... WebExplore and run machine learning code with Kaggle Notebooks Using data from multiple data sources Titanic-Competition : How to get top score 100% Kaggle code do navy seals wear underwear