Where can one find the Iris data set used in the example?
To find the Iris dataset used in the example one can access it through the UCI Machine Learning Repository. The Iris dataset is a commonly used dataset in the field of machine learning for classification tasks, particularly in educational contexts due to its simplicity and effectiveness in demonstrating various machine learning algorithms. The UCI Machine
What are the main differences in loading and training the Iris dataset between Tensorflow 1 and Tensorflow 2 versions?
The original code provided to load and train the iris dataset was designed for TensorFlow 1 and may not work with TensorFlow 2. This discrepancy arises due to certain changes and updates introduced in this newer version of TensorFlow, which wll be however covered in detail in subsequent topics that will directly relate to TensorFlow
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Plain and simple estimators
What is the accuracy of the model in classifying different species of iris flowers?
The accuracy of a machine learning model in classifying different species of iris flowers can be determined by evaluating its performance on a test dataset. In the context of the Iris dataset, which is a popular benchmark dataset for classification tasks, the accuracy of the model refers to the percentage of correctly classified iris flowers
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Plain and simple estimators, Examination review