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I have reviewed several previous answers here, but I do not understand how to calculate the misclassification rate for each model. The notes I received

I have reviewed several previous answers here, but I do not understand how to calculate the misclassification rate for each model. The notes I received for this topic said that the ClassProp function calculates accuracy and NOT the misclassification rate (ClassProp(id.true, id.kmeans)). So then how is the misclassification rate produced? And how to solve the below please:
In the package "MASS", there is a dataset called "iris".
The goal of this assignment is to perform a model-based cluster analysis based on the 4 numeric variables (first four columns): Sepal.Length, Sepal.Width, Petal.Length, and Petal.Width.
1. Create a true.id variable based on Species variable from the data.
2. Form a data set based on the first 4 columns, i.e., without the Species variable.
3. Apply the following clustering algorithms:
a. Hierarchical Clustering with Single Linkage
b. Hierarchical Clustering with Complete Linkage
c. K-means
d. Model-based clustering from package mclust
4. Create a plot using function clusplot() from package cluster.
HINT: clusplot(x, y, lines =0, color = TRUE, plotchar = FALSE, main =)
where x is the object with interval variables and y represents the factor variable.
5. Summarize the misclassification rates of each model in a table. Report your best model based on the results.
Someone answered my question, but I receive these errors when running the clusplot functions. How can this be fixed?
> clusplot(dataset, hc_single, color=1:3, main="Hierarchical (Single Linkage)")
Error in clusplot.default(dataset, hc_single, color =1:3, main = "Hierarchical (Single Linkage)") :
The clustering vector is of incorrect length
> clusplot(dataset, hc_complete, color=1:3, main="Hierarchical (Complete Linkage)")
Error in clusplot.default(dataset, hc_complete, color =1:3, main = "Hierarchical (Complete Linkage)") :
The clustering vector is of incorrect length
> clusplot(dataset, kmeans_model$cluster, color=1:3, main="K-means")
Error in if (color){ : the condition has length >1
> clusplot(dataset, mclust_model$classification, color=1:3, main="Model-based Clustering")
Error in if (color){ : the condition has length >1

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