irisデータをãƒã‚¸ã‚¹ãƒ†ã‚£ãƒƒã‚¯å›žå¸°ã¨SVMã§åˆ†é¡žã—ã¦ã¿ãŸ - kotaroito's notesCoursera ã® Machine Learning ã®æ¼”ç¿’ã¯ã€ã‚³ã‚¹ãƒˆé–¢æ•°ã¨ãã®æœ€å°åŒ–を自å‰ã§å®Ÿè£…ã™ã‚‹ã“ã¨ã«ãªã‚‹ã®ã§ãªã‹ãªã‹å¤§å¤‰ã ã‘ã©ã€python ã® sklearn を使ã†ã¨äº¤å·®æ¤œå®šå«ã‚ã€ã‚‚ã®ã™ã”ãカンタンã«æ›¸ã‘る。 import numpy as np import sklearn.datasets as datasets from sklearn.linear_model import LogisticRegression from sklearn import svm from sklearn.cross_validation import cross_val_score iris = datasets.load_iris() logistic = LogisticRegression() # Logistic Regression scores = cross_val_sco
{{#tags}}- {{label}}
{{/tags}}