Please solve this it in Python and make the Calculations shown as much as possible. make it readable by Google Collaboratory

Decision Tree:

A sample training dataset for decision trees is given as follows.

a$)$ Using this data set, create the most appropriate Decision Tree by making Information

Gain and entropy calculations. $($Show all steps and calculations$)$

b$)$ Draw this decision tree.

c$)$ When you consider the following Test Data set

Show the Confusion Matrix?

Calculate the Recall Value?

Calculate the Precision Value

its give me this error:

ValueError Traceback $($most recent call last$)$

in $()$

$57$ tree $=$ build$\_$tree$($df$,$ df$,$ df$.$columns$[$:$-1])$

$58$ clf $=$ DecisionTreeClassifier$($criterion$=$"entropy"$)$

$--->59$ clf$.$fit$($df$.$drop$(\text{'}$Class$\text{'},$ axis$=1),$ df$[\text{'}$Class$\text{'}])$

$60$ predictions $=$ clf$.$predict$($test$\_$df$)$

$61$

$5$ frames

$/$usr$/$local$/$lib$/$python$3\mathrm{.}10/$dist$-$packages$/$pandas$/$core$/$generic$.$py in $\_\_$array$\_\_($self$,$ dtype$)$

$1996$ def $\_\_$array$\_\_($self$,$ dtype: npt$.$DTypeLike $|$ None $=$ None$)->$ np$.$ndarray:

$1997$ values $=$ self.$\_$values

$->1998$ arr $=$ np$.$asarray$($values$,$ dtype$=$dtype$)$

$1999$ if $($

$2000$ astype$\_$is$\_$view$($values$.$dtype, arr.dtype$)$

ValueError: could not convert string to float: 'Small'