Generative AIforcomplex operations
Leverage AI to clean, transform and enrich your data. Ask for anything.
All-in-oneanalyticsplatform
Data Integration & Cleaning, Data Visualization, Predictive Models, Dashboards
Try it out on desktop!
Try it out on desktop!
Integrateswithyour stack
Connect your data in seconds securely using industry-standard integrations for the most popular data sources.
DataExploration
Visualize and manipulate your data instantly. Answers questions at the speed of thought.
Actionable&PredictablePredictive Modeling
Build powerful models with just a few clicks, deploy and consume them from wherever you want.
SELECT TARGET AND FACTORS
Target (0)
What variable do you want to predict? Also known as Target, KPIs or Independent variables.
Factors* (0)
Add the variables to train the prediction model and calculate the clusters.
Other (10)
Churn Risk Score
Customer Lifetime Value
Days Since Last Purchase
Avg. Session Duration
Purchase Frequency
Support Tickets Count
Email Open Rate
Support Call History
Account Age (days)
Login Frequency
Consume the models from your CRM
Hoobspot · 4 highly relevant leads
Yuki Tanaka
DevOps Lead
Relevance
42%
Olivia Bennett
Customer Success Director
Sarah Johnson
CTO
Michael Chen
Sales Director
Model Accuracy
0.8974
Create powerful models in just a couple of clicks.
Revise them, iterate them and publish them to an endpoint you can consume from your CRM.
| Monitor your model's performance with advanced dashboards | |||
|---|---|---|---|
| 0 | 1 | Recall | |
| 0 | 836 43.2% | 58 0% | 60.8% |
| 1 | 3.4 0% | 166 0% | 55.4% |
| Precision | 66.3% | 39% | 59.7% |
Feature Importance
Figure out what's important. Get a ranked list of what features participated more in the model's outcome.
| Dive deep into the details, if that's your thing. ;) | TRAIN | TEST |
|---|---|---|
| accuracy | 0 | 0±0 |
| balanced_accuracy | 0 | 0±0 |
| f1 | 0 | 0±0 |
| f1_macro | 0 | 0±0 |
| f1_micro | 0.9424 | 0.6906±0.0203 |
| f1_weighted | 0 | 0±0 |
| precision | 0.7799 | 0.6906±0.0203 |
| precision_macro | 0 | 0±0 |
| precision_micro | 0.9424 | 0.9101±0.0072 |
| precision_weighted | 0.9531 | 0.9101±0.0072 |
| recall | 0 | 0±0 |