evaluate_models

Evaluates the trained models on the test data and computes performance metrics.

Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.

Selcuk Korkmaz

fastml

Fast Machine Learning Model Training and Evaluation

Dincer Goksuluk

evaluate_models function

<dl><dt>models</dt>
<dd>A list of trained model objects.</dd>
<dt>train_data</dt>
<dd>Preprocessed training data frame.</dd>
<dt>test_data</dt>
<dd>Preprocessed test data frame.</dd>
<dt>label</dt>
<dd>Name of the target variable.</dd>
<dt>task</dt>
<dd>Type of task: "classification" or "regression".</dd>
<dt>metric</dt>
<dd>The performance metric to optimize (e.g., "accuracy", "rmse").</dd></dl>

Arguments

Evaluate Models Function — evaluate_models

<dl>

<dt>models</dt>
<dd>A list of trained model objects.</dd>


<dt>train_data</dt>
<dd>Preprocessed training data frame.</dd>


<dt>test_data</dt>
<dd>Preprocessed test data frame.</dd>


<dt>label</dt>
<dd>Name of the target variable.</dd>


<dt>task</dt>
<dd>Type of task: "classification" or "regression".</dd>


<dt>metric</dt>
<dd>The performance metric to optimize (e.g., "accuracy", "rmse").</dd>

</dl>

evaluate_models: Evaluate Models Function

Description

Usage

Value

Arguments