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Explain random forest Model on HELOC Credit Lending dataset by FICO by using explainx explainable AI frameworkdashboard-card-explainx
ExplainX explainable AI is part of the NVIDIA Inception Program for high-performing AI startups

MEET EXPLAINX.AI

SIMPLE. FAST. SCALABLE.

Use state of the art model interpretability techniques with a single line of code.
Unlock on-demand modelexplainability in an easy-to-use interface.
explainX explainable AI supports multiple models

Multi Model Support

From XGBoost to RF to Neural Networks, we support all models.

explainx explainable ai is build for production grade machine learning

Build for Production ML

Easily integrate explainability into your own AI models with just a single API.

explainx explainable ai is open source for data scientists

Open-Source for Model Developers

Get started today with our open-source explainable AI toolkit.

explainX automatically ranks features by their importance to the machine learning model

Explain
model predictions

Identify how features influence the output of the model.

Get insights into your model behavior and ensure your model is fair & robust.

Compare model performance

Dive deeper into your model by comparing model performance across different cohorts/subsets within your data.

You can use SQL query to drill down to understand model behavior
explainx explainable ai uses partial dependence plot and summary plot to measure marginal effects of features on the model output

Understand complex relations

Interpret complex relations between your variables and the model prediction.

Identify which direction the variable is influencing the final prediction.

Get actionable recommendations

Generate rules and examples based reasoning to provide easy-to-understand insights.

Use counterfactuals, surrogate decision rules & similar profile to summarize model behavior.

data scientists in the financial services industry can easily use explainx to generate counterfactual explanations
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Explain any model framework

ExplainX is a model agnostic library so that you will never have any customization or integration issues.

Simply plug in any AI model that you use with a single line of code.

DEPLOY MODELS CONFIDENTLY

We enable model developers take models from research to the real-world faster & with confidence.
data scientists can build transparency into any blackbox model by using explainX explainable AI

Increased Transparency

Data scientists can improve their model performance by using explainX explainable AI

Improved Performance

Data scientists can debug their models faster with explainX explainable AI

Fast Model Debugging

Data scientists can explain their models faster with explainX explainable AI

Increased Explainability

Resources

How to Explain Machine Learning Models with explainX.ai: CatBoost Classifier
October 27, 2020
Introducing explainX v.2.0 - Evaluate Model Performance & Improved Visualizations
October 21, 2020
How can we build explainable AI?
October 24, 2020
Visit our Resources Section

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