var data = load('test-data-iris.json')
var datac = ml.preprocess(data,'xmy',{features:['length','width','petal_length','petal_width'],
                                      target:'species'});

var x = datac.x;
var y = datac.y;

var t0=time()
var model = ml.learn({
  algorithm:ml.ML.ICE,
  x:x, 
  y:y,
  eps:0.2
});
var t1=time()
var result = ml.classify(model,x).map(function (r,i) { r.y=y[i]; return r } )
var t2=time()
print(result)
var correct=0,wrong=0;
result.forEach(function (r) { if (r.value==r.y) correct++; else wrong++ });
print('Correct='+correct+', wrong='+wrong);
print(toJSON(model).length)
print(t1-t0,t2-t1)