BKT (version 0.1.0)

evaluate: Evaluate

Description

Evaluate a BKT (Bayesian Knowledge Tracing) model using a specified metric. This function evaluates a fitted BKT model on a given dataset using a chosen performance metric. It takes either a data frame or a file path to the data and returns the evaluation result based on the specified metric (e.g., RMSE or accuracy).

Usage

evaluate(object, data = NULL, data_path = NULL, metric = rmse)

Value

Numeric or List. The result of the evaluation based on the specified metric(s). For example, if rmse is used, the function will return the root mean square error for the model on the dataset.

Arguments

object

A fitted BKT model object. This is the model to be evaluated.

data

Data frame. The dataset on which the model will be evaluated. If data is not provided, the function will attempt to load the dataset from the file specified by data_path.

data_path

Character. The file path to the dataset for evaluation. This will be used if data is not provided.

metric

Function or Function List. The evaluation metric used to assess the model performance. (Root Mean Square Error), but other metrics can also be specified.

Examples

# \donttest{
model <- bkt(seed = 42, parallel = TRUE, num_fits = 5)
result <- fit(model, data_path = "ct.csv", skills = "Plot non-terminating improper fraction")
eval_result <- evaluate(result, data_path = "ct_test.csv", metric = rmse)
print(eval_result)
# }