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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+OnClass.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

OnClass.data-00000-of-00001

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OnClass.npz

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accuracies.json

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+{
+    "query_accuracy": "| Cell Type | N cells |  celltypist |  knn bbknn |  knn harmony |  knn on scvi |  onclass |  scanvi |  svm |  xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hematopoietic stem cell | 313 | 0.99 | 0.99 | 0.99 | 0.98 | 0.00 | 0.95 | 0.98 | 0.99 | 0.99 |\n| naive B cell | 301 | 0.97 | 0.98 | 0.97 | 0.96 | 0.00 | 0.92 | 0.96 | 0.96 | 0.98 |\n| granulocyte | 292 | 0.97 | 0.97 | 0.98 | 0.98 | 0.00 | 0.96 | 0.97 | 0.97 | 0.98 |\n| promonocyte | 103 | 0.97 | 0.99 | 0.97 | 0.94 | 0.00 | 0.96 | 0.98 | 0.96 | 0.99 |\n| precursor B cell | 93 | 0.94 | 0.96 | 0.95 | 0.91 | 0.00 | 0.91 | 0.95 | 0.95 | 0.97 |\n| immature B cell | 48 | 0.86 | 0.93 | 0.86 | 0.74 | 0.00 | 0.67 | 0.83 | 0.82 | 0.90 |\n| granulocytopoietic cell | 58 | 0.89 | 0.93 | 0.92 | 0.87 | 0.00 | 0.83 | 0.91 | 0.94 | 0.94 |\n| natural killer cell | 54 | 0.94 | 0.90 | 0.93 | 0.76 | 0.00 | 0.85 | 0.93 | 0.91 | 0.94 |\n| macrophage | 46 | 0.98 | 0.99 | 0.94 | 0.93 | 0.00 | 0.94 | 0.98 | 0.97 | 0.99 |\n| late pro-B cell | 40 | 0.90 | 0.96 | 0.96 | 0.95 | 0.00 | 0.99 | 1.00 | 0.96 | 0.97 |\n| mature alpha-beta T cell | 33 | 0.87 | 0.87 | 0.88 | 0.47 | 0.00 | 0.75 | 0.91 | 0.86 | 0.91 |\n| CD4-positive, alpha-beta T cell | 24 | 0.91 | 0.84 | 0.89 | 0.71 | 0.00 | 0.81 | 0.88 | 0.87 | 0.93 |\n| granulocyte monocyte progenitor cell | 27 | 0.89 | 0.91 | 0.93 | 0.80 | 0.00 | 0.79 | 0.92 | 0.90 | 0.93 |\n| megakaryocyte-erythroid progenitor cell | 6 | 0.91 | 0.80 | 1.00 | 0.46 | 0.00 | 0.52 | 0.92 | 0.83 | 0.91 |\n| early pro-B cell | 9 | 1.00 | 1.00 | 1.00 | 0.95 | 0.00 | 0.95 | 1.00 | 1.00 | 1.00 |\n| basophil | 5 | 1.00 | 1.00 | 1.00 | 0.43 | 0.00 | 0.67 | 1.00 | 1.00 | 1.00 |\n| lymphoid lineage restricted progenitor cell | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |",
+    "ref_accuracy": "| Cell Type | N cells |  celltypist |  knn bbknn |  knn harmony |  knn on scvi |  onclass |  scanvi |  svm |  xgboost | Consensus Prediction |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hematopoietic stem cell | 2993 | 0.99 | 0.99 | 0.99 | 0.98 | 0.00 | 0.96 | 0.99 | 0.98 | 0.99 |\n| naive B cell | 2658 | 0.97 | 0.96 | 0.97 | 0.97 | 0.00 | 0.93 | 0.98 | 0.98 | 0.99 |\n| granulocyte | 2600 | 0.98 | 0.98 | 0.99 | 0.99 | 0.00 | 0.97 | 0.99 | 0.99 | 0.99 |\n| promonocyte | 912 | 0.98 | 0.98 | 0.98 | 0.97 | 0.00 | 0.97 | 0.99 | 0.99 | 0.99 |\n| precursor B cell | 763 | 0.94 | 0.94 | 0.95 | 0.90 | 0.00 | 0.92 | 0.98 | 0.99 | 0.99 |\n| immature B cell | 541 | 0.90 | 0.90 | 0.87 | 0.80 | 0.00 | 0.75 | 0.94 | 0.95 | 0.97 |\n| granulocytopoietic cell | 425 | 0.91 | 0.93 | 0.96 | 0.93 | 0.00 | 0.87 | 0.94 | 0.96 | 0.97 |\n| natural killer cell | 419 | 0.94 | 0.92 | 0.95 | 0.79 | 0.00 | 0.94 | 1.00 | 1.00 | 0.99 |\n| macrophage | 391 | 0.96 | 0.98 | 0.98 | 0.97 | 0.00 | 0.96 | 0.99 | 0.98 | 0.99 |\n| late pro-B cell | 371 | 0.96 | 0.97 | 0.99 | 0.95 | 0.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| mature alpha-beta T cell | 297 | 0.88 | 0.90 | 0.91 | 0.61 | 0.00 | 0.88 | 0.98 | 0.98 | 0.97 |\n| CD4-positive, alpha-beta T cell | 256 | 0.93 | 0.90 | 0.93 | 0.75 | 0.00 | 0.92 | 0.98 | 0.98 | 0.99 |\n| granulocyte monocyte progenitor cell | 223 | 0.84 | 0.87 | 0.93 | 0.89 | 0.00 | 0.78 | 0.89 | 0.91 | 0.92 |\n| megakaryocyte-erythroid progenitor cell | 74 | 0.95 | 0.89 | 0.95 | 0.73 | 0.00 | 0.69 | 0.98 | 0.99 | 0.99 |\n| early pro-B cell | 63 | 0.98 | 0.97 | 0.97 | 0.78 | 0.00 | 0.93 | 1.00 | 1.00 | 1.00 |\n| basophil | 66 | 0.97 | 0.89 | 0.96 | 0.73 | 0.00 | 0.75 | 1.00 | 1.00 | 1.00 |\n| lymphoid lineage restricted progenitor cell | 13 | 0.96 | 0.00 | 1.00 | 0.96 | 0.00 | 0.53 | 1.00 | 1.00 | 1.00 |"
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celltypist.pkl

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checkpoint

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pynndescent_index.joblib

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scanvi/model.pt

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scvi/model.pt

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scvi_knn_classifier.joblib

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svm_classifier_cuml.joblib

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xgboost_classifier.model

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