Classification without Twist vs with Twist

Study without Twist

 Learning Curves

Epoch 300/300
loss: 0.2271 - val_loss: 0.2393
accuracy: 0.9925 - val_accuracy: 0.9826

Using 937 samples for training and 401 for validation

 

Confusion Matrix


total test samples: 575
Correctly predicted: 566

 

Outputs Confidence Analysis

 

Legend: 
  • Max confidence reached (green line)
  • Mean of every confidences (bold value)
  • Standard deviation (right below mean)
  • Min confidence reached (red line)

Wrongly Predicted Sample

Real action: Push 
Predicted action: Shake
Outputs Confidence: [pull= 0.011 ; push= 0.429 ; shake= 0.5606]

Study with Twist

Learning Curves


Epoch 239/300
loss: 0.4024 -  val_loss: 0.4805
accuracy: 0.9792 - val_accuracy: 0.9516

Using 1253 samples for training and 537 for validation


Confusion Matrix

 
 
 
total test samples: 768
Correctly predicted: 740

 

Outputs Confidence Analysis 


Legend: 
  • Max confidence reached (green line)
  • Mean of every confidences (bold value)
  • Standard deviation (right below mean)
  • Min confidence reached (red line)

Wrongly Predicted Sample
 
Real action: Shake
Predicted action: Twist
Outputs Confidence: [pull= 0.001 ; push= 0.011 ; shake= 0.001 ; twist= 0.988]

                

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