Create readme for test cases

testcases/Readme.md

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+# Test suite developer notes
+
+This repository contains test cases for validating different functionalities in the project. The test cases are written in Python and utilize the pytest framework for running and validating the results.
+
+### Prerequisites
+
+Before running the test cases, ensure the following dependencies are installed:
+
+1. pytest (pip install pytest) 
+
+### Running the tests
+
+Tests are executed by running the 'pytest' command from the root directory of the project.
+
+### Test Files Overview
+
+The following test files are included:
+
+1. test_mean_cross_validation_score.py
+Tests the mean_cross_val_scores function.
+Validates classification model performance (e.g., RandomForestClassifier, LogisticRegression) using cross-validation.
+
+2. test_validate_train_data.py
+Tests the validate_category_distribution function.
+Ensures that categorical data distributions meet specified thresholds with tolerance.
+Covers cases such as valid distribution, invalid distribution, missing categories, empty input, and wider tolerance.
+
+3. test_write_csv.py
+Tests CSV file writing functionality.
+Validates if data is correctly written to CSV files.
+Running Tests
+
+