35 lines
805 B
JavaScript
35 lines
805 B
JavaScript
var data = load('test-data-iris.json')
|
|
|
|
var datac = ml.preprocess(data,'xmy',{features:['length','width','petal_length','petal_width'],
|
|
target:'species'});
|
|
// print(datac)
|
|
var labels = [
|
|
'setosa',
|
|
'versicolor',
|
|
'virginica'
|
|
]
|
|
var x = datac.x;
|
|
var y = datac.y;
|
|
|
|
var t0=time()
|
|
var model = ml.learn({
|
|
algorithm:ml.ML.RF,
|
|
labels:labels,
|
|
numTrees:5,
|
|
maxDepth:10,
|
|
numTries:10,
|
|
weakType:false,
|
|
x:x,
|
|
y:y,
|
|
});
|
|
|
|
var t1=time()
|
|
var result = ml.classify(model,x).map(ml.best).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)
|