这样的问题我写了这段代码，但是我不明白当我每次运行这段代码的时候，结果都发生了变化，那么：（1，0，0），（0，1，0），（1，1，1）等等，你能告诉我是什么问题吗？即使在训练模型的数据上，结果仍然不是预期的。谢谢

// Input data (genre, duration, lead actor)
const data = [
  [1, 1, 1],    // like it
  [0, 0, 1],    // doesn't like it
  [1, 0, 0],    // doesn't like it
  [0, 1, 0],    // doesn't like it
  [0, 1, 1],    // doesn't like it
  [1, 0, 1],    // doesn't like it
  [1, 1, 0],    // doesn't like it
];

// Tags (0 - Dislike, 1 - Like)
const labels = [
  1,    // like it
  0,    // doesn't like it
  0,    // doesn't like it
  0,    // doesn't like it
  0,    // doesn't like it
  0,    // doesn't like it
  0,    // doesn't like it
];

const model = tf.sequential();

model.add(tf.layers.dense({ inputShape: [3], units: 4, activation: 'relu' }));

model.add(tf.layers.dense({ units: 1, activation: 'sigmoid', }));

model.compile({ optimizer: 'adam', loss: 'binaryCrossentropy', metrics: ['accuracy'] });

const inputData = tf.tensor2d(data, [data.length, 3]);
const labelData = tf.tensor1d(labels);

model.fit(inputData, labelData, { epochs: 200 })
  .then(() => {
    // test model
    const testData = [
      [1, 1, 1],    // like it
      [0, 1, 0],    // Don't like it
      [0, 0, 1]     // Don't like it
    ];

    const predictions = model.predict(tf.tensor2d(testData));
    const predictedLabels = predictions.round().dataSync();

    console.log('result:', predictedLabels);
  });

结果必须为1，0，0