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metrics/2025-09-21_17-15-01/classification_summary.csv

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+timestamp,f1-score,sensitivity,specificity,recall,precision,accuracy
+2025-09-21_17-15-01,0.733,0.4112,0.9754,0.6933,0.8106,0.9067

metrics/2025-09-21_17-15-01/confusion_matrix.csv

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+labels,No Pneumonia,Pneumonia
+No Pneumonia,753,19
+Pneumonia,63,44

metrics/2025-09-21_18-33-02/classification_summary.csv

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+timestamp,f1-score,sensitivity,specificity,recall,precision,accuracy
+2025-09-21_18-33-02,0.7376,0.4206,0.9754,0.698,0.8135,0.9078

metrics/2025-09-21_18-33-02/confusion_matrix.csv

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+labels,No Pneumonia,Pneumonia
+No Pneumonia,753,19
+Pneumonia,62,45

metrics/2025-09-21_19-49-13/classification_summary.csv

@@ -0,0 +1,2 @@
+timestamp,f1-score,sensitivity,specificity,recall,precision,accuracy
+2025-09-21_19-49-13,0.7792,0.5047,0.9767,0.7407,0.8422,0.9192

metrics/2025-09-21_19-49-13/confusion_matrix.csv

@@ -0,0 +1,3 @@
+labels,No Pneumonia,Pneumonia
+No Pneumonia,754,18
+Pneumonia,53,54

metrics/2025-09-21_21-10-04/classification_summary.csv

@@ -0,0 +1,2 @@
+timestamp,f1-score,sensitivity,specificity,recall,precision,accuracy
+2025-09-21_21-10-04,0.7525,0.4112,0.9883,0.6998,0.877,0.9181

metrics/2025-09-21_21-10-04/confusion_matrix.csv

@@ -0,0 +1,3 @@
+labels,No Pneumonia,Pneumonia
+No Pneumonia,763,9
+Pneumonia,63,44

metrics/2025-09-21_22-26-28/classification_summary.csv

@@ -0,0 +1,2 @@
+timestamp,f1-score,sensitivity,specificity,recall,precision,accuracy
+2025-09-21_22-26-28,0.7601,0.4673,0.9754,0.7213,0.8271,0.9135

metrics/2025-09-21_22-26-28/confusion_matrix.csv

@@ -0,0 +1,3 @@
+labels,No Pneumonia,Pneumonia
+No Pneumonia,753,19
+Pneumonia,57,50