Sacred Ratio

1.       Consider the following dataset: Apply Naïve Bayes classifier for predicting the  feature, “ Inflated ” . Calculate the training set error. solution:    

1.   Analyze the below dataset and fill the missing values by applying appropriate values.  Original F illed with mean                                                              

1.      Consider the following farmer dataset.   Number of pounds per acre (in hundreds) Bushels per acre X y 1.0 25 2.5 32 3.0 35 3.0 32 3.4

1.       Predict the food type for tomato (A = 6 B = 4) with k=2 using the below the training data set.   Ingredient A B Food Type Grape 8 5 Fruit Beans 3 7

DA2 ML VITOL PART3   A B C D Output Some High False French Yes Full Low False Thai No Some

DA2 ML ( 3RD AND 4TH )QUESTION QUESTIONS:   A B C D Output Some High False French Yes Full Low False Thai No Some Low False Burger Yes Full Low False Thai Yes Full High False French No Some Normal True Italian Yes None Low True Burger No Some Normal True Thai Yes Full Low True Burger No Full High False Italian No None Low False Thai Yes Full Low False

Basic introduction to Decision tree's Algorithm QUESTIONS: A B C D Output Some High False French Yes Full Low False Thai No Some Low False Burger Yes Full Low False Thai Yes Full High False French No Some Normal True Italian Yes None Low True Burger No Some Normal True Thai Yes Full Low True Burger No Full High False Italian No None Low False Thai Yes Full Low False Burg