Breast Cancer Prediction on Alibaba Cloud ML Platform
Breast Cancer Prediction Work on Alibaba Cloud Machine Learning Platform
Machine Learning is an application of Artificial Intelligence ( AI ) that focuses on the development of computer programs that can access data and use it for the future purpose to make themselves more stable and accurate towards a decision. It enables an analysis of massive data, being faster and more sophisticated accurate towards the result in order to produce desired results in operations in complex situations.
Usually, Machine Learning uses pipelines, generally as follows:
- Data Source
- Data Preprocessing
- Feature Engineering
- Training and Evaluation
How Does ML or Machine Learning Works on Alibaba Cloud?
In this section, we will try to understand how to use Machine Learning on Alibaba Cloud Machine Learning Platform, we will here use the predefined data sets that are available within the Alibaba Cloud Machine Learning Platform, here we will use the binary classification algorithm. In this experiment, we will use the breast cancer Data Set from itself the console.
The data is described as follows:
For the next step, we will use feature engineering, in this, the nodes have two outputs, the first gives the feature weights and second gives the sorted datasets
The feature weights for the available node 2 is as follows:
Now it's important to train the machine, so divide the dataset into training and testing dataset by using split mode function, and feed to the Logistic Regression Algorithm.
The next is the evaluation step, and in this, the nodes from the Logistic and Split method are used for prediction, to check the results.
So the prediction result is as follows, and hence you can now have some Coffee.