Given the following control$-$flow diagram:class

MachineLearningTechnique

def

$\_($self$,$ name, accuracy$)$

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self.name $=$ name

self.accuracy $=$ accuracy

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A heap class

class

aHeap

def

init$\_\_($self$)$

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self.heap $=[]$

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$1$

def

push$($self$,$ technique$)$

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heapq.heappush$($self$.$heap, $($technique$.$accuracy, technique$))$

$|$

def

top$($self$)$

self.heap$[0][1]$

Machine learning techniques

technique$1=$ MachineLearningTechnique$("$Random Forest", $0\mathrm{.}79)$

technique$2=$ MachineLearningTechnique$("$XGBoost$",0\mathrm{.}88)$

technique$3=$ MachineLearningTechnique$("$Decision Tree", $0\mathrm{.}65)$

technique$4=$ MachineLearningTechnique$("$Support Vector Machine", $0\mathrm{.}92)$

Create a Heap object and add techniques

heap $=$ aHeap$()$

heap. push$($technique$1)$

heap. push$($technique$2)$

heap. push$($technique$3)$

heap. push$($technique$4)$

Retrieve a specific technique with its respective accuracy

mlTechnique $=$ heap.top$()$

print$("$Technique:$",$

mlTechnique.name, $"($Accuracy:$",$ mlTechnique.accuracy, $")")$Which machine learning technique will be retrieved?

Support Vector Machine

Decision Tree

XGBoost

Random Forest