Collect typographical information from Toshiyuki Sakamoto's "Make and Understand! Introduction to Ensemble Learning Algorithms"

Toshiyuki Sakamoto "Making and Understanding! Introduction to Ensemble Learning Algorithms" (R & C, 2019)

--Publisher site: https://www.c-r.com/book/detail/1316

I looked at the publisher's site and found no typographical information anywhere, so I'll collect it.

page	Wrong	Positive
3	Is the purpose of this book	I meanButThis is the purpose of this book
13	Normal. I use the decision tree as a base	Normal、I use the decision tree as a base
36	「scikir-learn」	「scikit-learn」
40, 44	`pred.argmax`	`prob.argmax`
43	Evaluation function in regression classification	RegressionEvaluation function in
50～53	`ncol`	`nrow`
57	Get worse results than Zero Rule	With worse results than Zero RuleNanaRu
57	Prepare an array of the required size	？
62	If the number of dimensions and N	Number of dimensionsToIf N
62	Because SGD can process data little by little	SGD processes data little by littleBecause I can
68	Class variables	Instance variables
81	The purpose of the decision tree algorithm	Purpose of the decision tree algorithmis
85	Axis of data	Of the dataNumber axis
88	Also create a "score" variable	Also create a "score" variableI will
102	Difference left and right nodes	Left and rightNodes
111	If you delete the branch in the node	Delete the branch in the nodeif
117	`def criticalscore(node, x, y, score_max)`	`def criticalscore(node, score_max)`
119	"Pruntest" which shows the ratio when the test data is separated	Represents the percentage when the test data is separated「splitratio」
120	First during pruning	First pruningofAt the time
121		The code at the top is wrong. The code on p126 is correct
145	5 and 10	5,10,20 pieces
148	Data here	Individualdata
149	Numpy "agerage" function	NumPy's "average"function
149～	WeighedZeroRule	WeightedZeroRule
151～	WeighedDecisionStump	WeightedDecisionStump
163	(Equation 3)ofyi	y_i
164		(Equation 8), First minus
166	Class variables	Instance variables
166	Overload	override
167～	itre	iter
174	Add up the weights for the correct data	Incorrect answerAdd weights to data
175	The total weight of the correct data	Sum of the weights of the correct dataso
190	At the time when it becomes half of all the total	Half of all totalTaAt the time
200	First time from AdaBoost	From AdaBoostStart with
200	So that the value decreases	Its value decreaseslike
200		There is no one-character space for changing paragraphs on the last line
211～	`ganma`	`gamma`