chore: update model (run 11/11_manual_egl_old_l2g_hits_nbh_max)

README.md

@@ -5,7 +5,7 @@ tags:
 - skops
 - tabular-classification
 model_format: skops
-model_file: 05-11_manual_egl_old_l2g_hits.skops
+model_file: classifier.skops
 widget:
 - structuredData:
     credibleSetConfidence:
@@ -13,37 +13,37 @@ widget:
     - 0.75
     - 0.75
     distanceFootprintMean:
-    - 0.9955834746360779
     - 0.9958390593528748
-    - 0.9838611483573914
+    - 0.9778529405593872
+    - 0.9583593606948853
     distanceFootprintMeanNeighbourhood:
-    - 0.00971545372158289
-    - 0.009760296903550625
-    - 0.007658529095351696
+    - 0.9992699027061462
+    - 0.9961138367652893
+    - 0.992693305015564
     distanceSentinelFootprint:
-    - 0.9955792427062988
     - 0.9958348274230957
-    - 0.983856201171875
+    - 0.9778582453727722
+    - 0.9583525061607361
     distanceSentinelFootprintNeighbourhood:
-    - 0.009715789929032326
-    - 0.00976063497364521
-    - 0.007658741902559996
+    - 0.9992691278457642
+    - 0.9961147904396057
+    - 0.9926921129226685
     distanceSentinelTss:
-    - 0.9955792427062988
     - 0.9958348274230957
-    - 0.983856201171875
+    - 0.9778117537498474
+    - 0.9583525061607361
     distanceSentinelTssNeighbourhood:
-    - 0.00974195171147585
-    - 0.009786796756088734
-    - 0.007684903685003519
+    - 0.9994046688079834
+    - 0.9962421655654907
+    - 0.9928276538848877
     distanceTssMean:
-    - 0.9955834746360779
     - 0.9958390593528748
-    - 0.9838611483573914
+    - 0.9778064489364624
+    - 0.9583593606948853
     distanceTssMeanNeighbourhood:
-    - 0.009741270914673805
-    - 0.009786113165318966
-    - 0.007684345822781324
+    - 0.999406099319458
+    - 0.9962419271469116
+    - 0.9928295612335205
     eQtlColocClppMaximum:
     - 0.0
     - 0.0
@@ -65,9 +65,9 @@ widget:
     - 13.0
     - 13.0
     isProteinCoding:
-    - 0.0
-    - 1.0
     - 1.0
+    - 0.0
+    - 0.0
     pQtlColocClppMaximum:
     - 0.0
     - 0.0
@@ -113,17 +113,17 @@ widget:
     - 0.0
     - 0.0
     vepMaximumNeighbourhood:
-    - -0.07333333790302277
-    - -0.07333333790302277
-    - -0.07333333790302277
+    - 0.3399999737739563
+    - 0.3399999737739563
+    - 0.3399999737739563
     vepMean:
     - 0.0
     - 0.0
     - 0.0
     vepMeanNeighbourhood:
-    - -0.01638231799006462
-    - -0.01638231799006462
-    - -0.01638231799006462
+    - 0.8525591492652893
+    - 0.8525591492652893
+    - 0.8525591492652893
 ---
 
 # Model description

classifier.skops

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:863649058bc216bfbcd2e302b9c5eb7b503cd6897e21632a39677412767fef14
-size 2896050
+oid sha256:2ade8113c389e228a05f18757d72c1351991c60a519b771963ce0940b6a628c6
+size 2905266

config.json

@@ -41,44 +41,44 @@
                 0.75
             ],
             "distanceFootprintMean": [
-                0.9955834746360779,
                 0.9958390593528748,
-                0.9838611483573914
+                0.9778529405593872,
+                0.9583593606948853
             ],
             "distanceFootprintMeanNeighbourhood": [
-                0.00971545372158289,
-                0.009760296903550625,
-                0.007658529095351696
+                0.9992699027061462,
+                0.9961138367652893,
+                0.992693305015564
             ],
             "distanceSentinelFootprint": [
-                0.9955792427062988,
                 0.9958348274230957,
-                0.983856201171875
+                0.9778582453727722,
+                0.9583525061607361
             ],
             "distanceSentinelFootprintNeighbourhood": [
-                0.009715789929032326,
-                0.00976063497364521,
-                0.007658741902559996
+                0.9992691278457642,
+                0.9961147904396057,
+                0.9926921129226685
             ],
             "distanceSentinelTss": [
-                0.9955792427062988,
                 0.9958348274230957,
-                0.983856201171875
+                0.9778117537498474,
+                0.9583525061607361
             ],
             "distanceSentinelTssNeighbourhood": [
-                0.00974195171147585,
-                0.009786796756088734,
-                0.007684903685003519
+                0.9994046688079834,
+                0.9962421655654907,
+                0.9928276538848877
             ],
             "distanceTssMean": [
-                0.9955834746360779,
                 0.9958390593528748,
-                0.9838611483573914
+                0.9778064489364624,
+                0.9583593606948853
             ],
             "distanceTssMeanNeighbourhood": [
-                0.009741270914673805,
-                0.009786113165318966,
-                0.007684345822781324
+                0.999406099319458,
+                0.9962419271469116,
+                0.9928295612335205
             ],
             "eQtlColocClppMaximum": [
                 0.0,
@@ -106,9 +106,9 @@
                 13.0
             ],
             "isProteinCoding": [
-                0.0,
                 1.0,
-                1.0
+                0.0,
+                0.0
             ],
             "pQtlColocClppMaximum": [
                 0.0,
@@ -166,9 +166,9 @@
                 0.0
             ],
             "vepMaximumNeighbourhood": [
-                -0.07333333790302277,
-                -0.07333333790302277,
-                -0.07333333790302277
+                0.3399999737739563,
+                0.3399999737739563,
+                0.3399999737739563
             ],
             "vepMean": [
                 0.0,
@@ -176,13 +176,13 @@
                 0.0
             ],
             "vepMeanNeighbourhood": [
-                -0.01638231799006462,
-                -0.01638231799006462,
-                -0.01638231799006462
+                0.8525591492652893,
+                0.8525591492652893,
+                0.8525591492652893
             ]
         },
         "model": {
-            "file": "05-11_manual_egl_old_l2g_hits.skops"
+            "file": "classifier.skops"
         },
         "model_format": "skops",
         "task": "tabular-classification"