有监督学习

src/views/MalfunctionWarning/components/testReport.vue

@@ -53,11 +53,11 @@
 					<div class="charts">
 						<LineChart width="33.33%" v-if="lossList" id="reporLoss" :reportFlag="true" :dataList="lossList"></LineChart>
 						<LineChart width="33.33%" v-if="accuracyList" id="reporAccuracy" :reportFlag="true" :dataList="accuracyList"> </LineChart>
-						<BarChart width="33.33%" v-if="barList.length > 0" id="reportBar" :baseLine='baseLine' :barList="barList"> </BarChart>
+						<BarChart width="33.33%" v-if="barList.length > 0" id="reportBar" :baseLine='BaseLine' :barList="barList"> </BarChart>
 					</div>
 					<div class="resultContent">
-						该模型训练和测试的准确率分别为<text style="color: #dc143c">74.2%和73.3%</text>；
-						误差率分别为<text style="color: #dc143c">2%和1%</text>；<br>
+						该模型训练和测试的准确率分别为<text style="color: #dc143c">{{result[0]}} 和 {{result[1]}}</text>；
+						误差率分别为<text style="color: #dc143c">{{result[2]}} 和 {{result[3]}}</text>；<br>
 						该模型训练所倚重的测点比重分别为：<text style="color: #dc143c" v-for="(item,index) in proportionList" :key="index">{{item.name+item.percent+(index != (proportionList.length-1)?'、':'')}}</text>。<br>
 						模型训练过程所有测点倚重占比如下表所示：
 					</div>
@@ -89,10 +89,11 @@
 		},
 		data() {
 			return {
+				result:[],
 				modelName:'',
 				lossList: {},
 				accuracyList: {},
-				baseLine: '',
+				BaseLine: '',
 				barList: [],
 				faultResult:'',
 				reportData: {},
@@ -140,7 +141,7 @@
 					let idx = jzxNum2.indexOf(ele);
 					jzxData.push({
 						name: jzx[idx].name,
-						percent: ((ele/baselineAdd)*100).toFixed(4) + "%",
+						percent: ((ele/baselineAdd)*100).toFixed(3) + "%",
 					})
 				})
 				this.proportionList = jzxData;
@@ -167,9 +168,15 @@
 					that.BaseLine = parseFloat(data?.coordinate.BaseLine);
 					that.accuracyList.accuracy = data?.coordinate.accuracy;
 					that.accuracyList.val_accuracy = data?.coordinate.val_accuracy;
+					
 					data?.coordinate.bar?.sort(that.Compare("value"));
 					that.barList = data?.coordinate.bar?.slice(0, 5);
-					
+					// result 顺序:accuracy-val_accuracy-loss-val_loss
+					let result = [that.accuracyList.accuracy.sort().pop(),that.accuracyList.val_accuracy.sort().pop(),that.lossList.loss.sort().pop(),that.lossList.val_loss.sort().pop()]
+					result.forEach((ele,index)=>{
+						result[index] = (ele*100).toFixed(3)+'%'
+					})
+					that.result = result;
 					that.jzxF(data?.coordinate.bar);
 			      }
 			    },