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linear_regression.html
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<html>
<head>
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<body>
<div class="frontmatter">
<div class="title"><h1></h1></div>
<div class="author"><h2></h2></div>
<div class="date"><h3></h3></div>
</div>
<div class="body">
<pre><code class="language-r"># Load Train and Test datasets
# Identify feature and response variable(s) and values must be numeric and numpy arrays
x_train <- input_variables_values_training_datasets
</code></pre>
<pre><code>## Error in eval(expr, envir, enclos): object 'input_variables_values_training_datasets' not found
</code></pre>
<pre><code class="language-r">y_train <- target_variables_values_training_datasets
</code></pre>
<pre><code>## Error in eval(expr, envir, enclos): object 'target_variables_values_training_datasets' not found
</code></pre>
<pre><code class="language-r">x_test <- input_variables_values_test_datasets
</code></pre>
<pre><code>## Error in eval(expr, envir, enclos): object 'input_variables_values_test_datasets' not found
</code></pre>
<pre><code class="language-r">x <- cbind(x_train,y_train)
</code></pre>
<pre><code>## Error in cbind(x_train, y_train): object 'x_train' not found
</code></pre>
<pre><code class="language-r"># Train the model using the training sets and check score
linear <- lm(y_train ~ ., data = x)
</code></pre>
<pre><code>## Error in model.frame.default(formula = y_train ~ ., data = x, drop.unused.levels = TRUE): 'data' must be a data.frame, environment, or list
</code></pre>
<pre><code class="language-r">summary(linear)
</code></pre>
<pre><code>## Error in summary(linear): object 'linear' not found
</code></pre>
<pre><code class="language-r"># Predict Output
predicted= predict(linear,x_test)
</code></pre>
<pre><code>## Error in predict(linear, x_test): object 'linear' not found
</code></pre>
</div>
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