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README.md
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language:
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- en
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license: apache-2.0
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library_name:
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tags:
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- binary-classification
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- embeddings
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- umap
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- accuracy
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datasets:
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- 112_Tiering_Questions_02.28.2025.json
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model-index:
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- name: 03062025_V2_UMAP_Embedding_Classifier
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results:
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- task:
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type: text-classification
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name: 112_Tiering_Questions_02.28.2025.json
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type: tabular
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metrics:
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-
-
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value: 0.9565
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---
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# 03062025_V2_UMAP_Embedding_Classifier
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language:
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- en
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license: apache-2.0
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library_name: autogluon
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tags:
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- binary-classification
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- multi-class-classification
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- text-classification
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- embeddings
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- umap
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- autogluon
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datasets:
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- 112_Tiering_Questions_02.28.2025.json
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model-index:
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- name: "03062025_V2_UMAP_Embedding_Classifier (Binary)"
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results:
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- task:
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type: text-classification
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name: 112_Tiering_Questions_02.28.2025.json
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type: tabular
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9565
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- name: F1
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type: f1
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value: 0.97
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- name: ROC AUC
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type: roc_auc
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value: 0.91
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- name: "03062025_V2_UMAP_Embedding_Classifier (Multi-class)"
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results:
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- task:
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type: text-classification
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name: Multi-class Classification
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dataset:
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name: 112_Tiering_Questions_02.28.2025.json
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type: tabular
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5652
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- name: F1
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type: f1
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value: 0.59
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- name: ROC AUC
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type: roc_auc
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value: 0.74
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---
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# 03062025_V2_UMAP_Embedding_Classifier
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