10. Predicting Accident Severity with No Code Machine Learning

Today, we’re gonna build a model to predict the severity of an airplane accident.

We’ll start by:

  1. Reviewing the dataset
  2. We’ll then build a Machine Learning model for predicting accident severity.
  3. And instantly see how we can make predictions and share them with others on the team.

So let’s get started.

Number 1: Reviewing the dataset

In this dataset, every single row is a report of an aeroplane accident. And every column tells us something about this accident. Like the aeroplane’s safety score, cabin temperature, days since the inspection, etc. At the end, we have a column here called is severity. This tells us if the damage to an airplane in that row was serious, significant, fatal or minor. This is a historical dataset. And we now wanna use it to predict the severity of a new airplane accident. 

Number 2: Building the machine learning model

To build a model, we start by uploading this CSV.  We can upload spreadsheets, Connect to apps & services like Salesforce and Dropbox and even databases like MySQL and BigQuery. Once uploaded, all you have to do is select your prediction column. In this case, it’s the Severity column.

From here, Obviously AI will automatically build a machine learning model to make predictions, in less than 1 minute.

Number 3: Make predictions and share them with your team

Once your model is built, it’s ready to be used right away. No deploying, no maintenance. You can see it’s accuracy and performance details here.  Seems like we’re good to go! We start by heading to Personas to make a first prediction. Let’s say we have a new accident report. This airplane had a safety score of 3, it had only been 1 day since inspection and the cabin temperature was 22 degrees celsius. As I change these details, I can see the prediction for this accident’s damage come up right here. The probability of that this accident’s damage is significant is 67%

Now, let’s head to export predictions. We can upload a list of new customers and get a prediction on each one. An API can also be used to automate these predictions and embed them in your own app or website.

You will also have the option to get a shareable link to send to anyone on your team. It will enable them to use the model you built to start making their own predictions.

So, what would you like to predict today?

Complete and Continue