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README.md

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 # Model description
 
-This is a model trained to classify pieces of neuron as axon, dendrite, soma, orglia, based only on their local shape and synapse features.The model is a linear discriminant classifier which was trained on compartment labels generated by Bethanny Danskin for 3 6x6x6 um boxes in the Minnie65 Phase3 dataset.
+This is a model trained to classify pieces of neuron as axon, dendrite, soma, or glia,
+based only on their local shape and synapse features.The model is a linear discriminant
+classifier which was trained on compartment labels generated by Bethanny Danskin for
+3 6x6x6 um boxes in the Minnie65 Phase3 dataset.
 
 ## Intended uses & limitations
 
-[More Information Needed]
+This model could be used to predict some compartment labels in mouse cortical
+connectomes, but it is unclear to what extent this model will generalize.
 
 ## Training Procedure
 
-[More Information Needed]
+The model was trained on local (level 2 cache) and synapse count features from 3 6x6x6
+um boxes in the Minnie65 Phase3 dataset. These features were also locally aggregated in
+5-hop neighborhood windows and concatenated to each level 2 node's features. The labels
+were generated by Bethanny Danskin and include axon, dendrite, soma, and glia
+compartments. The classification model was trained using a linear discriminant
+classifier.
 
 ### Hyperparameters