<div> <ul class="breadcrumb"> <li><a href="/">Home</a></li> <li><a href="/diy-platform">DIY Platform </a></li> <li><a href="/diy-platform/app-store-index/">App Store </a></li> <li> Price Forcasting </li> </ul> </div> # Price Forcasting Price Forecasting is a statistical measurement(type of a regression problem) that attempts to predict a commodity/product/service price by evaluating various factors/events(known as independent variables in data set), which responsible for changing price in the market. ## How to Build your Price Forecasting application ### Data Preparation For Price Forecasting data preparation steps [visit here](/diy-platform/app-store-index/understanding-data-for-price-forecasting-applications) We have provided a sample data set, which contains 9 different attributes or features and target label namely **Amount_Per_Room_Night**. The value of target label is price per night of the room on given date. ### Build App **Build App** 1. Go to the app store, build a lead score app by searching for *Price Forecasting* 2. You will be redirected to the app settings page where you can configure and run the app 3. Under **Quick Settings**, 3.1. Select an existing dataset or upload a new dataset. 3.2. Select the target field, the field that indicates the demand. 4. Now click on **Run Now** to start the app. The app may run for 5 to 20 minutes (dependending on the size of input data) and then the trained model will be saved. 5. Use this model to get the price prediction 5.1. Click on **Build App** on the model to build the inference app using that model 5.2. Provide the input in the given fields and click on **Get Results**. The predicted price of room will be displayed on the right side of the screen. 6. [Optional] To use this model to predict more than one examples, [Visit here] [TODO] ### Output The output of the infer app will the predicted value of your example. > Go ahead and build your first [Price Forecasting App](https://app.datoin.com/app-store)