Scikit-learnã§ãƒã‚¤ãƒ‘ーパラメータã®ã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒ - Qiita
# -*- coding: utf-8 -*- from sklearn import datasets from sklearn.cross_validation import train_test_split from sklearn.grid_search import GridSearchCV from sklearn.metrics import classification_report, confusion_matrix from sklearn.svm import SVC ## データã®èªã¿è¾¼ã¿ digits = datasets.load_digits() X = digits.data y = digits.target ## トレーニングデータã¨ãƒ†ã‚¹ãƒˆãƒ‡ãƒ¼ã‚¿ã«åˆ†å‰²ï¼Ž X_train, X_test, y_train, y_test = train_test_spli
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「ã¯ã˜ã‚ã¦ã§ã‚‚ã‚ã‹ã‚‹RandomForest (ランダムフォレスト) 入門ï¼é›†å›£å¦ç¿’ã«ã‚ˆã‚‹åˆ†é¡žãƒ»äºˆæ¸¬ ï¼ã€ ï¼ç¬¬ï¼—回データマイニング+WEBå‹‰å¼·ä¼šï¼ æ±äº¬ 濱田晃一 (hamadakoichi) Read less
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