Currently, DAVinCI LABS supports separator text or CSV file format, and can analyze data combined into one file. Functionalities such as integrating with a database and extracting data from it will be added in the future.
A Prediction model is a system that is produced from analyzing big data using machine learning algorithms. It is used for predicting future values of specific objects or fields(variables) based on patterns found during machine learning algorithm training. For example, this means predicting the default rate of a loan customer or estimating the loss rate of an insured person.
This depends on what the user wants to predict and the nature of the data, but meaningful analysis is plausible with few hundred data samples that contain target information (specific data that represents what the user is trying to predict).
Currently, there are seven machine learning algorithms available: Neural Network, Stabilized Deep Net, Gradient Boosting Machine, Ridge Regression, Random Forest, Generalized Linear Model, and Logistic Regression. More will be added going forward.
The UI/UX is designed to be intuitive and easy to use for non developers/data analysts/machine learning professionals. Powerful prediction models can be generated with just a few mouse clicks. The solution contract includes free-of-charge training for usage and modeling by default, and continuous on-line and off-line customer support are provided.
An advantage of DAVinCI LABS is that it generates machine learning models that produces prediction values for new data in real time. The user can download prediction models in the form of a Java library or other executable files. Once the download is complete, the user can refer to informational documents to be able to mount the model as a function in his/her existing system. Once mounted, prediction values can be requested to the model in real time. Other questions related to customized system integration can be answered via contact email@example.com
DAVinCI LABS's prediction models are based on complex machine learning algorithms, but it has been designed to generate explicable outputs rather than being a black-box. Through its proprietary algorithms, it helps to explain individual predictions by quantifying the influence that each field(variable) contributed in producing them.
If predictive modeling based on pattern analysis is needed, regardless of the business type, DAVinCI LABS can be put to work immediately. Areas where DAVinCI LABS is applicable are: risk assessment, fraud detection, customer behavior based target marketing, churn prediction, defect detection, complaint prediction, efficiency/performance prediction, disease diagnosis, accident prediction, and more