{
  "name": "Modeling Methods",
  "children": [
    {
      "name": "Classification",
      "children": [
        { "name": "Logistic regression" },
        { "name": "Linear discriminant analysis" },
        { "name": "Rules" },
        { "name": "Decision trees" },
        { "name": "Naive Bayes" },
        { "name": "K nearest neighbor" },
        { "name": "Probabilistic neural network" },
        { "name": "Support vector machine" }
      ]
    },
    {
      "name": "Consensus",
      "children": [
        {
          "name": "Models diversity",
          "children": [
            { "name": "Different initializations" },
            { "name": "Different parameter choices" },
            { "name": "Different architectures" },
            { "name": "Different modeling methods" },
            { "name": "Different training sets" },
            { "name": "Different feature sets" }
          ]
        },
        {
          "name": "Methods",
          "children": [
            { "name": "Classifier selection" },
            { "name": "Classifier fusion" }
          ]
        },
        {
          "name": "Common",
          "children": [
            { "name": "Bagging" },
            { "name": "Boosting" },
            { "name": "AdaBoost" }
          ]
        }
      ]
    },
    {
      "name": "Regression",
      "children": [
        { "name": "Multiple linear regression" },
        { "name": "Partial least squares" },
        { "name": "Multi-layer feedforward neural network" },
        { "name": "General regression neural network" },
        { "name": "Support vector regression" }
      ]
    }
  ]
}