                 } else {
                     action = "NeuralNet's confused\n\(roundedInfer)"
                 }
+                */
+                
                 self.currentAppStatus.text = action
             } catch {print(error)}
         }

    
    @IBAction func guessActBPressed(_ sender: Any) {
        actionType = "Guess"
        self.startLoggingData()
        delay(14){
            self.exportToText(currMatrix: self.dataMatrix, action: self.actionType)
            self.guessMatrix = self.bootStrapDataM(arr2D: self.dataMatrix, setsNum: self.bootTestDataNum, startPt: self.testStartPt, stride: self.bootStepSize, windowSize: self.ptsPerData, rowNums: self.rowNum, xyz: 1)
            
            //Take 1 sample from the guessMatrix
            

        rowNum = Int(dataLogTime/updateInterval)
        testStartPt = bootTrainDataNum * bootStepSize
        nnInputNum = ptsPerData * 3 //100 pts per data * 3 axis
        hiddenLayerNum = Int(round(Double(nnInputNum) * (2.0/3.0)))
        //Initialize a preliminary untrained neural network for binary classification
        do {
            structure = try NeuralNet.Structure(inputs: nnInputNum, hidden: hiddenLayerNum, outputs: 2)
