Google Earth Engine（GEE）——影像分类中出现的错误（Classifier confusionMatrix: Property ‘type‘ of feature ‘000000）

var table = ee.FeatureCollection("users/yongxin/henan_bese"),
    table3 = ee.FeatureCollection("users/yongxin/zhengzhou_sample");

//确定区域
var table = ee.FeatureCollection("users/yongxin/henan_bese");
var roi = ee.Geometry.Point([113.663221,34.7568711]);
var sCol = table.filterBounds(roi);
Map.centerObject(sCol,6);
Map.addLayer(sCol,{color:"red"},"zhengzhou");

/** 
forest 0 
urban 1 
paddyrice 2 
water 3 
crop 4 
*/  

//iazai加载yangbendianshujv加载样本点数据
var sampleData = ee.FeatureCollection("users/yongxin/zhengzhou_sample");
Map.addLayer(sampleData, {}, "sampleData");  

//Landsat8 SR数据去云  
function rmCloud(image) {  
  var cloudShadowBitMask = (1 << 3);  
  var cloudsBitMask = (1 << 5);  
  var qa = image.select("pixel_qa");  
  var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)  
                 .and(qa.bitwiseAnd(cloudsBitMask).eq(0));  
  return image.updateMask(mask);  
}  

//缩放  
function scaleImage(image) {  
  var time_start = image.get("system:time_start");  
  image = image.multiply(0.0001);  
  image = image.set("system:time_start", time_start);  
  return image;  
}  

//NDVI  
function NDVI(image) {  
  return image.addBands(  
    image.normalizedDifference(["B5", "B4"])  
         .rename("NDVI"));  
}  

//NDWI  
function NDWI(image) {  
  return image.addBands(  
    image.normalizedDifference(["B3", "B5"])  
         .rename("NDWI"));  
}  

//NDBI  
function NDBI(image) {  
  return image.addBands(  
    image.normalizedDifference(["B6", "B5"])  
         .rename("NDBI"));  
}  

//加载影像数据（未分类的Landsat影像数据）
var l8Col = ee.ImageCollection("LANDSAT/LC08/C01/T1_SR")  
              .filterBounds(sCol)  
              .filterDate("2016-1-1", "2017-1-1")  
              .map(rmCloud)  
              .map(scaleImage)  
              .map(NDVI)  
              .map(NDWI)  
              .map(NDBI);  
              
//DEM  
var srtm = ee.Image("USGS/SRTMGL1_003");  
var dem = ee.Algorithms.Terrain(srtm);  
var elevation = dem.select("elevation");  
var slope = dem.select("slope");  

//定义波段
var bands = [  
  "B1", "B2", "B3", "B4", "B5", "B6", "B7",  
  "NDBI", "NDWI", "NDVI","SLOPE", "ELEVATION"  
]; 

//影像处理
var l8Image = l8Col.median()  
                   .addBands(elevation.rename("ELEVATION"))  
                   .addBands(slope.rename("SLOPE"))  
                   .clip(sCol)  
                   .select(bands); 
                   
//rgb参数设置
var rgbVisParam = {  
  min: 0,  
  max: 0.3,  
  bands: ["B4", "B3", "B2"]  
}; 

Map.addLayer(l8Image, rgbVisParam, "l8Image");  

//切分生成训练数据和验证数据  
sampleData = sampleData.randomColumn('random');  
var sample_training = sampleData.filter(ee.Filter.lte("random", 0.7));   
var sample_validate  = sampleData.filter(ee.Filter.gt("random", 0.7));  
  
print("sample_training", sample_training);  
print("sample_validate", sample_validate);  

// //生成监督分类训练使用的样本数据  
// var training = l8Image.sampleRegions({  
//   collection: sample_training,   
//   properties: ["type"],   
//   scale: 30  
// });  
// //生成监督分类验证使用的样本数据  
// var validation = l8Image.sampleRegions({  
//   collection: sample_validate,   
//   properties: ["type"],   
//   scale: 30  
// });  

// //初始化分类器  
// var classifier = ee.Classifier.smileCart().train({  
//   features: training,   
//   classProperty: "type",  
//   inputProperties: bands  
// }); 
//生成监督分类训练使用的样本数据  
var training = l8Image.sampleRegions({  
  collection: sample_training,   
  properties: ["class"],   
  scale: 30  
});  
//生成监督分类验证使用的样本数据  
var validation = l8Image.sampleRegions({  
  collection: sample_validate,   
  properties: ["class"],   
  scale: 30  
});  

//初始化分类器  
var classifier = ee.Classifier.smileCart().train({  
  features: training,   
  classProperty: "class",  
  inputProperties: bands  
});  

//影像数据调用classify利用训练数据训练得到分类结果  
var classified = l8Image.classify(classifier);  

//训练结果的混淆矩阵  
var trainAccuracy = classifier.confusionMatrix();  

//导出训练精度结果CSV  
Export.table.toDrive({  
  collection: ee.FeatureCollection([  
    ee.Feature(null, {  
      matrix: trainAccuracy.array(),  
      kappa: trainAccuracy.kappa(),  
      accuracy: trainAccuracy.accuracy()  
    }  
  )]),  
  description: "l8TrainConf_zhengzhou",  
  folder:"training_zhengzhou",  
  fileFormat: "CSV"  
});  

//导出影像  
var resultImg = classified.clip(sCol).toByte();  
resultImg = resultImg.remap([0,1,2,3,4], [1,2,3,4,5]);  
Export.image.toAsset({  
  image: resultImg,   
  description: 'Asset-l8Classifiedmap_zhengzhou',  
  assetId: "training_zhengzhou/l8Classifiedmap_zhengzhou",  
  region: sCol,  
  scale:30,  
  crs: "EPSG:4326",  
  maxPixels: 1e13  
});  

//影像导出
Export.image.toDrive({  
  image:resultImg,  
  description:'Drive-l8Classifiedmap_zhengzhou',  
  fileNamePrefix: "l8Classifiedmap_zhengzhou",  
  folder:"training_zhengzhou",  
  region: sCol,  
  scale:30,  
  crs: "EPSG:4326",  
  maxPixels:1e13  
});  

//生成监督分类训练使用的样本数据  
var training = l8Image.sampleRegions({  
  collection: sample_training,   
  properties: ["class"],   
  scale: 30  
});  
//生成监督分类验证使用的样本数据  
var validation = l8Image.sampleRegions({  
  collection: sample_validate,   
  properties: ["class"],   
  scale: 30  
});  

//初始化分类器  
var classifier = ee.Classifier.smileCart().train({  
  features: training,   
  classProperty: "class",  
  inputProperties: bands  
});