Aggiunto terzo laboratorio valutato

stegua · stegua · commit 896b592efe93 · 2017-04-11T08:58:12.000+02:00
diff --git a/Assignments/hw2/README.md.txt b/Assignments/hw2/README.md.txt
@@ -0,0 +1,30 @@
+Data Dictionary
+
+Variable	Definition	Key
+survival	Survival	0 = No, 1 = Yes
+pclass	Ticket class	1 = 1st, 2 = 2nd, 3 = 3rd
+sex	Sex	
+Age	Age in years	
+sibsp	# of siblings / spouses aboard the Titanic	
+parch	# of parents / children aboard the Titanic	
+ticket	Ticket number	
+fare	Passenger fare	
+cabin	Cabin number	
+embarked	Port of Embarkation	C = Cherbourg, Q = Queenstown, S = Southampton
+Variable Notes
+
+pclass: A proxy for socio-economic status (SES)
+1st = Upper
+2nd = Middle
+3rd = Lower
+
+age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5
+
+sibsp: The dataset defines family relations in this way...
+Sibling = brother, sister, stepbrother, stepsister
+Spouse = husband, wife (mistresses and fianc�s were ignored)
+
+parch: The dataset defines family relations in this way...
+Parent = mother, father
+Child = daughter, son, stepdaughter, stepson
+Some children travelled only with a nanny, therefore parch=0 for them.
diff --git a/Assignments/hw2/compito_MATRICOLA.py b/Assignments/hw2/compito_MATRICOLA.py
@@ -0,0 +1,14 @@
+def NomeCognome():
+	return "Paolo Rossi 423023"
+
+def Train(x_train, y_test):
+	def Predict(X):
+		""" Per ogni elemento di X, predice 1 oppure 0, per indicare
+			se il passaggero corrispondente al vettore X soppravive al disastro """
+	
+		# DA COMPLETARE CON LA VOSTRA SOLUZIONE
+		# IN QUESTO CASO: APPROCCIO NAIVE (PESSIMISTICO) RESTITUISCE SEMPRE 0
+		return list(map(lambda x: 0, X))
+		
+	# In questo caso ho ignorato il training set
+	return Predict
diff --git a/Assignments/hw2/train.csv b/Assignments/hw2/train.csv
