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g6-data.json
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107 lines (107 loc) · 2.05 KB
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{
"id": "Modeling Methods",
"children": [
{
"id": "Classification",
"children": [
{
"id": "Logistic regression"
},
{
"id": "Linear discriminant analysis"
},
{
"id": "Rules"
},
{
"id": "Decision trees"
},
{
"id": "Naive Bayes"
},
{
"id": "K nearest neighbor"
},
{
"id": "Probabilistic neural network"
},
{
"id": "Support vector machine"
}
]
},
{
"id": "Consensus",
"children": [
{
"id": "Models diversity",
"children": [
{
"id": "Different initializations"
},
{
"id": "Different parameter choices"
},
{
"id": "Different architectures"
},
{
"id": "Different modeling methods"
},
{
"id": "Different training sets"
},
{
"id": "Different feature sets"
}
]
},
{
"id": "Methods",
"children": [
{
"id": "Classifier selection"
},
{
"id": "Classifier fusion"
}
]
},
{
"id": "Common",
"children": [
{
"id": "Bagging"
},
{
"id": "Boosting"
},
{
"id": "AdaBoost"
}
]
}
]
},
{
"id": "Regression",
"children": [
{
"id": "Multiple linear regression"
},
{
"id": "Partial least squares"
},
{
"id": "Multi-layer feed forward neural network"
},
{
"id": "General regression neural network"
},
{
"id": "Support vector regression"
}
]
}
]
}