diff --git a/Calculators/Confusion-Matrix-Calculator/README.md b/Calculators/Confusion-Matrix-Calculator/README.md new file mode 100644 index 000000000..c954e91e1 --- /dev/null +++ b/Calculators/Confusion-Matrix-Calculator/README.md @@ -0,0 +1,30 @@ +#

Confusion Matrix Calculator

+ +## Description :- + +An interactive web-based calculator that allows users to compute essential machine learning metrics based on a confusion matrix. By entering values for true positives, false positives, false negatives, and true negatives, users can instantly see calculated accuracy, precision, recall, and F1 score. These metrics are crucial for evaluating the performance of classification models in machine learning. + +## Tech Stacks :- + +- HTML +- CSS +- JavaScript + +## Features :- + +- Calculate accuracy, precision, recall, and F1 score based on confusion matrix inputs. +- Instantly see performance metrics relevant to classification models. + +## Usage :- + +1. Open the index.html file in your web browser. + +2. Enter the following inputs: + - True Positive (TP) + - False Positive (FP) + - False Negative (FN) + - True Negative (TN) + +3. Click the "Calculate" button to view the computed metrics. + +The calculator will display accuracy, precision, recall, and F1 score based on the provided confusion matrix values. diff --git a/Calculators/Confusion-Matrix-Calculator/assets/image.jpg b/Calculators/Confusion-Matrix-Calculator/assets/image.jpg new file mode 100644 index 000000000..7161d95e1 Binary files /dev/null and b/Calculators/Confusion-Matrix-Calculator/assets/image.jpg differ diff --git a/Calculators/Confusion-Matrix-Calculator/index.html b/Calculators/Confusion-Matrix-Calculator/index.html new file mode 100644 index 000000000..5ba267f1c --- /dev/null +++ b/Calculators/Confusion-Matrix-Calculator/index.html @@ -0,0 +1,75 @@ + + + + + + Confusion Matrix Calculator + + + + +
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Confusion Matrix Calculator

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ACCURACY: (TP+TN)/(TP+TN+FP+FN)

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PRECISION: TP/(TP+FP)

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RECALL: TP/(TP+FN)

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F1 SCORE: 2*((PRECISION+RECALL)/(PRECISON*RECALL))

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+ + + \ No newline at end of file diff --git a/Calculators/Confusion-Matrix-Calculator/script.js b/Calculators/Confusion-Matrix-Calculator/script.js new file mode 100644 index 000000000..17a632647 --- /dev/null +++ b/Calculators/Confusion-Matrix-Calculator/script.js @@ -0,0 +1,34 @@ +document.getElementById('confusionMatrixForm').addEventListener('submit', function(event) { + event.preventDefault(); + + // Get input values + const truePositive = parseFloat(document.getElementById('truePositive').value); + const falsePositive = parseFloat(document.getElementById('falsePositive').value); + const falseNegative = parseFloat(document.getElementById('falseNegative').value); + const trueNegative = parseFloat(document.getElementById('trueNegative').value); + + + const accuracy = (truePositive + trueNegative) / (truePositive + falsePositive + falseNegative + trueNegative); + const precision = truePositive / (truePositive + falsePositive); + const recall = truePositive / (truePositive + falseNegative); + const f1Score = 2 * (precision * recall) / (precision + recall); + + + document.getElementById('accuracy').textContent = `Accuracy: ${(accuracy * 100).toFixed(2)}%`; + document.getElementById('precision').textContent = `Precision: ${(precision * 100).toFixed(2)}%`; + document.getElementById('recall').textContent = `Recall: ${(recall * 100).toFixed(2)}%`; + document.getElementById('f1Score').textContent = `F1 Score: ${f1Score.toFixed(2)}`; +}); + +function clearForm() { + document.getElementById('truePositive').value = ''; + document.getElementById('falsePositive').value = ''; + document.getElementById('falseNegative').value = ''; + document.getElementById('trueNegative').value = ''; + + // Clear the result display + document.getElementById('accuracy').textContent = ''; + document.getElementById('precision').textContent = ''; + document.getElementById('recall').textContent = ''; + document.getElementById('f1Score').textContent = ''; +} diff --git a/Calculators/Confusion-Matrix-Calculator/style.css b/Calculators/Confusion-Matrix-Calculator/style.css new file mode 100644 index 000000000..8a4c70708 --- /dev/null +++ b/Calculators/Confusion-Matrix-Calculator/style.css @@ -0,0 +1,138 @@ +body { + font-family: Arial, sans-serif; + background: linear-gradient(to right, rgba(0, 102, 255, 0.9), rgba(0, 178, 178, 0.9)); + +} + +.main-container { + display: flex; + align-items: flex-start; + gap: 15px; + padding: 20px; + max-width: 1200px; + margin: auto; +} + +.container { + background-color: rgba(0, 0, 0, 0.6); + padding: 30px; + border-radius: 8px; + box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); + max-width: 600px; + color: white; + +} + +.containerimage { + background-color: rgba(0, 0, 0, 0.6); + padding: 10px; + border-radius: 8px; + box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); + + +} + +.Formulae { + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + text-align: center; + color: white; + font-size: 14px; +} + +.cyan-container { + background-color: rgba(0, 255, 255, 0.6); + display: flex; + justify-content: center; + max-width: 600px; + padding: 30px; + border-radius: 8px; + +} + +.resultcontainer { + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + color: black; + font-weight: bold; + margin-top: 20px; + font-size: 22px; + +} + + + +h1 { + font-size: 32px; + margin-bottom: 20px; +} + + + +.btn { + background-color: blue; + font-size: 18px; + padding: 10px 20px; +} + +.form-label { + font-size: 16px; +} + +input.form-control { + font-size: 18px; + padding: 10px; +} + +@media (max-width: 768px) { + .main-container { + flex-direction: column; + align-items: center; + gap: 20px; + max-width: 100%; + padding: 10px; + } + + .containerimage { + max-width: 100%; + padding: 10px; + } + + .containerimage img { + width: 100%; + height: auto; + min-width: 300px; + max-width:600px; + } + + .cyan-container { + max-width: 100%; + padding: 20px; + } + + .form-label { + font-size: 14px; + } + + input.form-control { + font-size: 16px; + padding: 12px; + } + + .btn { + font-size: 16px; + padding: 12px 24px; + } + + h1 { + font-size: 28px; + } + + .resultcontainer { + font-size: 20px; + } +} diff --git a/index.html b/index.html index 770b7ae8b..76824f626 100644 --- a/index.html +++ b/index.html @@ -1191,6 +1191,20 @@

Calculates the Conductivity & Resistivity.

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Confusion Matrix Calculator

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Calculates Accuracy, Precision, Recall, and F1 Score for classification models in Machine Learning.

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