diff --git a/api/src/engine/connectors/exareme/handlers/algorithms/descriptive.handler.spec.ts b/api/src/engine/connectors/exareme/handlers/algorithms/descriptive.handler.spec.ts
index 8d624871753434bbd88017c8e702225898bdbc6d..75fae503eda91da355b5f48a72ee8d33857f930b 100644
--- a/api/src/engine/connectors/exareme/handlers/algorithms/descriptive.handler.spec.ts
+++ b/api/src/engine/connectors/exareme/handlers/algorithms/descriptive.handler.spec.ts
@@ -7,198 +7,198 @@ import { GroupsResult } from 'src/engine/models/result/groups-result.model';
 
 const data = [
   {
-    "variable_based": [
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "edsd",
-        "data": {
-          "num_dtps": 437,
-          "num_na": 37,
-          "num_total": 474,
-          "mean": 214.37923592677345,
-          "std": 31.759412531119786,
-          "min": 61.8725,
-          "q1": 197.2012,
-          "q2": 212.8049,
-          "q3": 233.7051,
-          "max": 334.9526
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "edsd",
-        "data": null
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "desd-synthdata",
-        "data": {
-          "num_dtps": 920,
-          "num_na": 80,
-          "num_total": 1000,
-          "mean": 213.74694663043476,
-          "std": 34.566788117025006,
-          "min": 61.8725,
-          "q1": 195.6455,
-          "q2": 212.53735,
-          "q3": 234.605825,
-          "max": 334.9526
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "desd-synthdata",
-        "data": null
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "ppmi",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "mean": 233.83928417366948,
-          "std": 28.18026921524509,
-          "min": 165.1467,
-          "q1": 214.367725,
-          "q2": 232.42445,
-          "q3": 252.255,
-          "max": 339.0075
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "ppmi",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "counts": {
-            "PD": 405,
-            "HC": 183,
-            "GENPD": 81,
-            "PRODROMA": 45
-          }
-        }
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "all datasets",
-        "data": {
-          "num_dtps": 2071,
-          "num_na": 117,
-          "num_total": 2188,
-          "mean": 220.80741955577017,
-          "std": 33.25531321945584,
-          "min": 61.8725,
-          "q1": null,
-          "q2": null,
-          "q3": null,
-          "max": 339.0075
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "all datasets",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "counts": {
-            "PD": 405,
-            "HC": 183,
-            "GENPD": 81,
-            "PRODROMA": 45
-          }
-        }
-      }
+    variable_based: [
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'edsd',
+        data: {
+          num_dtps: 437,
+          num_na: 37,
+          num_total: 474,
+          mean: 214.37923592677345,
+          std: 31.759412531119786,
+          min: 61.8725,
+          q1: 197.2012,
+          q2: 212.8049,
+          q3: 233.7051,
+          max: 334.9526,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'edsd',
+        data: null,
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'desd-synthdata',
+        data: {
+          num_dtps: 920,
+          num_na: 80,
+          num_total: 1000,
+          mean: 213.74694663043476,
+          std: 34.566788117025006,
+          min: 61.8725,
+          q1: 195.6455,
+          q2: 212.53735,
+          q3: 234.605825,
+          max: 334.9526,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'desd-synthdata',
+        data: null,
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'ppmi',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          mean: 233.83928417366948,
+          std: 28.18026921524509,
+          min: 165.1467,
+          q1: 214.367725,
+          q2: 232.42445,
+          q3: 252.255,
+          max: 339.0075,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'ppmi',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          counts: {
+            PD: 405,
+            HC: 183,
+            GENPD: 81,
+            PRODROMA: 45,
+          },
+        },
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'all datasets',
+        data: {
+          num_dtps: 2071,
+          num_na: 117,
+          num_total: 2188,
+          mean: 220.80741955577017,
+          std: 33.25531321945584,
+          min: 61.8725,
+          q1: null,
+          q2: null,
+          q3: null,
+          max: 339.0075,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'all datasets',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          counts: {
+            PD: 405,
+            HC: 183,
+            GENPD: 81,
+            PRODROMA: 45,
+          },
+        },
+      },
     ],
-    "model_based": [
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "edsd",
-        "data": null
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "edsd",
-        "data": null
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "desd-synthdata",
-        "data": null
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "desd-synthdata",
-        "data": null
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "ppmi",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "mean": 233.83928417366948,
-          "std": 28.18026921524509,
-          "min": 165.1467,
-          "q1": 214.367725,
-          "q2": 232.42445,
-          "q3": 252.255,
-          "max": 339.0075
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "ppmi",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "counts": {
-            "PD": 405,
-            "HC": 183,
-            "GENPD": 81,
-            "PRODROMA": 45
-          }
-        }
-      },
-      {
-        "variable": "rightcerebralwhitematter",
-        "dataset": "all datasets",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "mean": 233.83928417366948,
-          "std": 28.18026921524509,
-          "min": 165.1467,
-          "q1": null,
-          "q2": null,
-          "q3": null,
-          "max": 339.0075
-        }
-      },
-      {
-        "variable": "ppmicategory",
-        "dataset": "all datasets",
-        "data": {
-          "num_dtps": 714,
-          "num_na": 0,
-          "num_total": 714,
-          "counts": {
-            "PD": 405,
-            "HC": 183,
-            "GENPD": 81,
-            "PRODROMA": 45
-          }
-        }
-      }
-    ]
-  }
-]
+    model_based: [
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'edsd',
+        data: null,
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'edsd',
+        data: null,
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'desd-synthdata',
+        data: null,
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'desd-synthdata',
+        data: null,
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'ppmi',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          mean: 233.83928417366948,
+          std: 28.18026921524509,
+          min: 165.1467,
+          q1: 214.367725,
+          q2: 232.42445,
+          q3: 252.255,
+          max: 339.0075,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'ppmi',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          counts: {
+            PD: 405,
+            HC: 183,
+            GENPD: 81,
+            PRODROMA: 45,
+          },
+        },
+      },
+      {
+        variable: 'rightcerebralwhitematter',
+        dataset: 'all datasets',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          mean: 233.83928417366948,
+          std: 28.18026921524509,
+          min: 165.1467,
+          q1: null,
+          q2: null,
+          q3: null,
+          max: 339.0075,
+        },
+      },
+      {
+        variable: 'ppmicategory',
+        dataset: 'all datasets',
+        data: {
+          num_dtps: 714,
+          num_na: 0,
+          num_total: 714,
+          counts: {
+            PD: 405,
+            HC: 183,
+            GENPD: 81,
+            PRODROMA: 45,
+          },
+        },
+      },
+    ],
+  },
+];
 
 const createExperiment = (): Experiment => ({
   id: 'dummy-id',
@@ -226,25 +226,22 @@ const domain: Domain = {
   ],
 };
 
-
 describe('Descriptive Stats result handler', () => {
   const descriptiveHandler = new DescriptiveHandler();
   const exp = createExperiment();
 
   it('Test Descriptive Handler', () => {
-    
     handlers(exp, data, domain);
 
-    const result = exp.results[0] as GroupsResult
+    const result = exp.results[0] as GroupsResult;
     expect(exp.results.length).toEqual(1);
-    expect(result.groups[0].name).toBe('Variables')
-    expect(result.groups[1].name).toBe('Model')
-
-    const tableData1 = result.groups[0].results[0] as TableResult
-    expect(tableData1.data[0][1]).toEqual(474)
+    expect(result.groups[0].name).toBe('Variables');
+    expect(result.groups[1].name).toBe('Model');
 
-    const tableData2 = result.groups[1].results[0] as TableResult
-    expect(tableData2.data[0][1]).toBe('No Enough Data')
+    const tableData1 = result.groups[0].results[0] as TableResult;
+    expect(tableData1.data[0][1]).toEqual(474);
 
+    const tableData2 = result.groups[1].results[0] as TableResult;
+    expect(tableData2.data[0][1]).toBe('No Enough Data');
   });
 });
diff --git a/api/src/engine/connectors/exareme/handlers/algorithms/logistic-regression-cv.handler.ts b/api/src/engine/connectors/exareme/handlers/algorithms/logistic-regression-cv.handler.ts
index cded1148667e5c16011572ec0d0f35e7e9bb183b..ce0854bb55835e45af1ae9ca920289704f0691bd 100644
--- a/api/src/engine/connectors/exareme/handlers/algorithms/logistic-regression-cv.handler.ts
+++ b/api/src/engine/connectors/exareme/handlers/algorithms/logistic-regression-cv.handler.ts
@@ -47,7 +47,7 @@ export default class LogisticRegressionCVHandler extends BaseHandler {
   private canHandle(experiment: Experiment, data: unknown): boolean {
     return (
       experiment.algorithm.name.toLowerCase() ===
-      LogisticRegressionCVHandler.ALGO_NAME &&
+        LogisticRegressionCVHandler.ALGO_NAME &&
       !!data &&
       !!data[0] &&
       !!data[0]['summary']
@@ -61,7 +61,10 @@ export default class LogisticRegressionCVHandler extends BaseHandler {
         name: lookupDict[key],
         type: 'string',
       })),
-      data: data.summary['row_names'].map((key: any, i: number) => [key, ...keys.map((k) => `${data['summary'][k][i]}`)])
+      data: data.summary['row_names'].map((key: any, i: number) => [
+        key,
+        ...keys.map((k) => `${data['summary'][k][i]}`),
+      ]),
     };
   }
 
@@ -128,8 +131,10 @@ export default class LogisticRegressionCVHandler extends BaseHandler {
       this.getROC(improvedData),
     ];
 
-    results.filter((r) => !!r).forEach((r) => {
-      experiment.results.push(r);
-    });
+    results
+      .filter((r) => !!r)
+      .forEach((r) => {
+        experiment.results.push(r);
+      });
   }
 }