{
"tag"       : "classwise1",
"brief"     : "2D data, 3 classes, imbalanced, overlapping distributions. Classwise errors.",
"task"      : "classification",
"algorithm" : "MLP_learn",

"comment" : "Emulating the first example on class imbalance. Similar to what was presented at the ESANN2016 poster session.",

"_TODO" : "Implement logging/tracing.",

"MLP_learn":
{
  "datafile"  : "2d3cOverlapImbalanced100.data",
  "task"      : "classification",
  "evolution" : {
    "evol_obj"  : "cwerr",
    "pop_size"  : 30,
    "max_iter"  : 50,
    "evol_oper" : "ns"
  },
  "init" : {
    "init_arch"    : "2-10-3",
    "init_weights" : "uniform(-1,1)"
  },
  "improvement" : {
    "imp_obj"   : "mse(direction=rerandomclass)",
    "imp_oper"  : "backprop",
    "imp_steps" : 100,
    "imp_inilen": 0.4
  }
}
}