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

Cell In$[58],$ line $4$

$2$ model$1=$ LogisticRegression$()$

$3$ # Fitting the model for the $80\%$ training data

$---->4$ model$1.$fit$($X$\_$train$1,$ y$\_$train$1)$

$5$ #Predict the outcomes for the $20\%$ testing set

$6$ y$\_$pred$1=$ model$1.$predict$($X$\_$test$1)$

File $/$Library$/$Frameworks$/$Python$.$framework$/$Versions$/3\mathrm{.}11/$lib$/$python$3\mathrm{.}11/$site$-$packages$/$sklearn$/$base$.$py:$1151,$ in $\_$fit$\_$context..decorator..wrapper$($estimator$,*$args$,**$kwargs$)$

$1144$ estimator.$\_$validate$\_$params$()$

$1146$ with config$\_$context$($

$1147$ skip$\_$parameter$\_$validation$=($

$1148$ prefer$\_$skip$\_$nested$\_$validation or global$\_$skip$\_$validation

$1149)$

$1150)$:

$->1151$ return fit$\_$method$($estimator$,*$args$,**$kwargs$)$

File $/$Library$/$Frameworks$/$Python$.$framework$/$Versions$/3\mathrm{.}11/$lib$/$python$3\mathrm{.}11/$site$-$packages$/$sklearn$/$linear$\_$model$/\_$logistic.py:$1252,$ in LogisticRegression.fit$($self$,$ X$,$ y$,$ sample$\_$weight$)$

$1250$ classes$\_=$ self.classes$\_$

$1251$ if n$\_$classes $<2$:

$->1252$ raise ValueError$($

$1253$ "This solver needs samples of at least $2$ classes"

$1254"$ in the data, but the data contains only one"

$1255"$ class: $\%$r$"$

$1256\%$ classes$\_[0]$

$1257)$

$1259$ if len$($self$.$classes$\_)==2$:

$1260$ n$\_$classes $=1$

ValueError: This solver needs samples of at least $2$ classes in the data, but the data contains only one class: $1$