Create README.md

README.md

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+---
+library_name: sklearn
+tags:
+- tabular-regression
+- materials property prediction
+- baseline-trainer
+---
+
+**Model Description**
+
+The magnet Curie temperature (Tc [K]) predictor model has been trained using a supervised learning approach on a specific set of magnet classes having 14:2:1 phases.
+It predicts the Tc value using the chemical composition as a feature.
+E.g: To predict the Tc value Nd2Fe14B1 magnet composition, the features are Nd=2, Fe=14, and B=1.
+
+
+**Application & Limitations**
+
+The trained model is valid for 14:2:1 phases only, which are stoichiometric compositions.
+
+**Model Plot**
+
+**How to use the trained model for inference**
+
+
+