训练准确率图表

我正在尝试使用LSTM和MATLAB对ECG信号进行分类，上述图表显示系统的训练准确率为100%，但当我应用这段代码来计算和获取准确率时，我只得到了20%

LSTMAccuracy = sum(trainPred == Labels)/numel(Labels)*100

计算的训练准确率

我是不是遗漏了什么？还是我的代码有什么问题？

这是配置和训练代码：

layers = [ ...    sequenceInputLayer(1)    bilstmLayer(100,'OutputMode','last')     fullyConnectedLayer(5)    softmaxLayer    classificationLayer    ]options = trainingOptions('adam', ...    'MaxEpochs',1750, ...    'MiniBatchSize', 150, ...    'InitialLearnRate', 0.0001, ...    'ExecutionEnvironment',"auto",...    'plots','training-progress', ...    'Verbose',false);net = trainNetwork(Signals, Labels, layers, options);trainPred = classify(net, Signals,'SequenceLength',1000);LSTMAccuracy = sum(trainPred == Labels)/numel(Labels)*100figureconfusionchart(Labels,trainPred,'ColumnSummary','column-normalized',...              'RowSummary','row-normalized','Title','Confusion Chart for LSTM');

回答：

这个问题可以通过以下代码行解决：

trainPred = classify(net, Signals,'SequenceLength','longest');