What Is training Set and test Set in a Machine Learning Model?

Sameer Kadam
Sameer Kadam

Posted On: Apr 01, 2020

 

The training data is used by the algorithm to create a model. It used this data to learn and fit the model. In a dataset, about 60 to 80 percent of data is allocated as training data. The testing data is used to test the accuracy of the model trained with the training data. The model from the training data predicts the testing data to see how well it works. Separating the dataset into training and testing data is important as you can minimize the effect of data discrepancies and better understand the characteristics of the model.

    Related Questions

    Please Login or Register to leave a response.

    Related Questions

    Machine Learning Interview Questions

    What is machine learning?

    Machine learning is the use of algorithms and data to perform specific tasks. ML is the process of giving the system the ability to learn from data using certain sophisticated algorithms. With the alg...

    Machine Learning Interview Questions

    What supervised and unsupervised machine learning?

    Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...

    Machine Learning Interview Questions

    What is ROC curve?

    ROC curve is a graphical plot to illustrate the ability of a classifier system. Basically, this curve tells you how much a binary classifier system is capable of distinguishing between classes. This c...