{
  "iris_virginica_vs_versicolor": {
    "positive": "virginica iris",
    "negative": "versicolor iris",
    "n_train": 56,
    "n_val": 19,
    "n_test": 25,
    "jev_selected_cutoff": 0.7,
    "results": {
      "noul_0_5": {
        "accuracy": 1.0,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            0,
            12
          ]
        ]
      },
      "choice_0_5": {
        "accuracy": 1.0,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            0,
            12
          ]
        ]
      },
      "choice_jev_cutoff": {
        "accuracy": 0.92,
        "auc": 1.0,
        "sensitivity": 0.8333,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            2,
            10
          ]
        ]
      },
      "choice_code_cutoff": {
        "accuracy": 0.92,
        "auc": 1.0,
        "sensitivity": 0.8333,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            2,
            10
          ]
        ]
      },
      "gradient_boosting_16_examples": {
        "accuracy": 0.92,
        "auc": 0.9167,
        "sensitivity": 0.8333,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            2,
            10
          ]
        ]
      },
      "gradient_boosting_full_train": {
        "accuracy": 0.96,
        "auc": 0.9583,
        "sensitivity": 0.9167,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            1,
            11
          ]
        ]
      },
      "extra_trees_16_examples": {
        "accuracy": 0.92,
        "auc": 0.9872,
        "sensitivity": 0.8333,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            2,
            10
          ]
        ]
      },
      "extra_trees_full_train": {
        "accuracy": 0.96,
        "auc": 1.0,
        "sensitivity": 0.9167,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            1,
            11
          ]
        ]
      },
      "logistic_regression_16_examples": {
        "accuracy": 0.92,
        "auc": 0.9872,
        "sensitivity": 0.8333,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            2,
            10
          ]
        ]
      },
      "logistic_regression_full_train": {
        "accuracy": 0.96,
        "auc": 1.0,
        "sensitivity": 0.9167,
        "specificity": 1.0,
        "confusion_matrix": [
          [
            13,
            0
          ],
          [
            1,
            11
          ]
        ]
      }
    }
  },
  "breast_cancer_malignant": {
    "positive": "malignant sample",
    "negative": "benign sample",
    "n_train": 319,
    "n_val": 107,
    "n_test": 143,
    "jev_selected_cutoff": 0.95,
    "results": {
      "noul_0_5": {
        "accuracy": 0.8671,
        "auc": 0.9978,
        "sensitivity": 1.0,
        "specificity": 0.7889,
        "confusion_matrix": [
          [
            71,
            19
          ],
          [
            0,
            53
          ]
        ]
      },
      "choice_0_5": {
        "accuracy": 0.8601,
        "auc": 0.9973,
        "sensitivity": 1.0,
        "specificity": 0.7778,
        "confusion_matrix": [
          [
            70,
            20
          ],
          [
            0,
            53
          ]
        ]
      },
      "choice_jev_cutoff": {
        "accuracy": 0.972,
        "auc": 0.9973,
        "sensitivity": 0.9811,
        "specificity": 0.9667,
        "confusion_matrix": [
          [
            87,
            3
          ],
          [
            1,
            52
          ]
        ]
      },
      "choice_code_cutoff": {
        "accuracy": 0.972,
        "auc": 0.9973,
        "sensitivity": 0.9811,
        "specificity": 0.9667,
        "confusion_matrix": [
          [
            87,
            3
          ],
          [
            1,
            52
          ]
        ]
      },
      "gradient_boosting_16_examples": {
        "accuracy": 0.8811,
        "auc": 0.9832,
        "sensitivity": 1.0,
        "specificity": 0.8111,
        "confusion_matrix": [
          [
            73,
            17
          ],
          [
            0,
            53
          ]
        ]
      },
      "gradient_boosting_full_train": {
        "accuracy": 0.958,
        "auc": 0.9977,
        "sensitivity": 0.9434,
        "specificity": 0.9667,
        "confusion_matrix": [
          [
            87,
            3
          ],
          [
            3,
            50
          ]
        ]
      },
      "extra_trees_16_examples": {
        "accuracy": 0.9161,
        "auc": 0.9961,
        "sensitivity": 1.0,
        "specificity": 0.8667,
        "confusion_matrix": [
          [
            78,
            12
          ],
          [
            0,
            53
          ]
        ]
      },
      "extra_trees_full_train": {
        "accuracy": 0.972,
        "auc": 0.9983,
        "sensitivity": 0.9811,
        "specificity": 0.9667,
        "confusion_matrix": [
          [
            87,
            3
          ],
          [
            1,
            52
          ]
        ]
      },
      "logistic_regression_16_examples": {
        "accuracy": 0.958,
        "auc": 0.9979,
        "sensitivity": 1.0,
        "specificity": 0.9333,
        "confusion_matrix": [
          [
            84,
            6
          ],
          [
            0,
            53
          ]
        ]
      },
      "logistic_regression_full_train": {
        "accuracy": 0.979,
        "auc": 0.9981,
        "sensitivity": 0.9811,
        "specificity": 0.9778,
        "confusion_matrix": [
          [
            88,
            2
          ],
          [
            1,
            52
          ]
        ]
      }
    }
  },
  "wine_class_0": {
    "positive": "dataset wine class 0",
    "negative": "dataset wine class 1 or 2",
    "n_train": 99,
    "n_val": 34,
    "n_test": 45,
    "jev_selected_cutoff": 0.9,
    "results": {
      "noul_0_5": {
        "accuracy": 0.7556,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 0.6333,
        "confusion_matrix": [
          [
            19,
            11
          ],
          [
            0,
            15
          ]
        ]
      },
      "choice_0_5": {
        "accuracy": 0.7111,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 0.5667,
        "confusion_matrix": [
          [
            17,
            13
          ],
          [
            0,
            15
          ]
        ]
      },
      "choice_jev_cutoff": {
        "accuracy": 0.9333,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 0.9,
        "confusion_matrix": [
          [
            27,
            3
          ],
          [
            0,
            15
          ]
        ]
      },
      "choice_code_cutoff": {
        "accuracy": 0.9333,
        "auc": 1.0,
        "sensitivity": 1.0,
        "specificity": 0.9,
        "confusion_matrix": [
          [
            27,
            3
          ],
          [
            0,
            15
          ]
        ]
      },
      "gradient_boosting_16_examples": {
        "accuracy": 0.9333,
        "auc": 0.9722,
        "sensitivity": 1.0,
        "specificity": 0.9,
        "confusion_matrix": [
          [
            27,
            3
          ],
          [
            0,
            15
          ]
        ]
      },
      "gradient_boosting_full_train": {
        "accuracy": 0.9333,
        "auc": 0.9522,
        "sensitivity": 0.9333,
        "specificity": 0.9333,
        "confusion_matrix": [
          [
            28,
            2
          ],
          [
            1,
            14
          ]
        ]
      },
      "extra_trees_16_examples": {
        "accuracy": 0.9333,
        "auc": 0.9833,
        "sensitivity": 1.0,
        "specificity": 0.9,
        "confusion_matrix": [
          [
            27,
            3
          ],
          [
            0,
            15
          ]
        ]
      },
      "extra_trees_full_train": {
        "accuracy": 0.9778,
        "auc": 0.9978,
        "sensitivity": 1.0,
        "specificity": 0.9667,
        "confusion_matrix": [
          [
            29,
            1
          ],
          [
            0,
            15
          ]
        ]
      },
      "logistic_regression_16_examples": {
        "accuracy": 0.9333,
        "auc": 0.9711,
        "sensitivity": 1.0,
        "specificity": 0.9,
        "confusion_matrix": [
          [
            27,
            3
          ],
          [
            0,
            15
          ]
        ]
      },
      "logistic_regression_full_train": {
        "accuracy": 0.9556,
        "auc": 0.98,
        "sensitivity": 1.0,
        "specificity": 0.9333,
        "confusion_matrix": [
          [
            28,
            2
          ],
          [
            0,
            15
          ]
        ]
      }
    }
  }
}