createml-3_log.txt

Extracting image features from full data set.
Analyzing and extracting image features.
+------------------+--------------+------------------+
| Images Processed | Elapsed Time | Percent Complete |
+------------------+--------------+------------------+
| 1                | 1.87s        | 2.5%             |
| 2                | 1.98s        | 5%               |
| 3                | 2.09s        | 7.5%             |
| 4                | 2.21s        | 10%              |
| 5                | 2.32s        | 12.5%            |
| 10               | 2.89s        | 25%              |
| 40               | 6.19s        | 100%             |
| 39               | 6.06s        | 97.5%            |
+------------------+--------------+------------------+
Skipping automatic creation of validation set; training set has fewer than 50 points.
Beginning model training on processed features. 
Calibrating solver; this may take some time.
+-----------+--------------+-------------------+
| Iteration | Elapsed Time | Training Accuracy |
+-----------+--------------+-------------------+
| 0         | 0.015278     | 0.250000          |
| 1         | 0.120184     | 0.775000          |
| 2         | 0.172407     | 0.850000          |
| 3         | 0.207289     | 0.975000          |
| 4         | 0.249851     | 1.000000          |
| 5         | 0.284733     | 1.000000          |
| 10        | 0.470849     | 1.000000          |
+-----------+--------------+-------------------+
Completed (Iteration limit reached).
Extracting image features from evaluation data.
Analyzing and extracting image features.
+------------------+--------------+------------------+
| Images Processed | Elapsed Time | Percent Complete |
+------------------+--------------+------------------+
| 1                | 225.744ms    | 8.25%            |
| 2                | 426.425ms    | 16.5%            |
| 3                | 631.887ms    | 25%              |
| 4                | 833.109ms    | 33.25%           |
| 5                | 1.03s        | 41.5%            |
| 10               | 2.05s        | 83.25%           |
| 12               | 2.46s        | 100%             |
| 11               | 2.25s        | 91.5%            |
+------------------+--------------+------------------+
----------------------------------
Number of examples: 12
Number of classes: 4
Accuracy: 83.33%

******CONFUSION MATRIX******
----------------------------------
True\Pred Leonard  Penny    Raj      Sheldon  
Leonard   1        0        2        0        
Penny     0        3        0        0        
Raj       0        0        3        0        
Sheldon   0        0        0        3        

******PRECISION RECALL******
----------------------------------
Class   Precision(%)   Recall(%)      
Leonard 100.00         33.33          
Penny   100.00         100.00         
Raj     60.00          100.00         
Sheldon 100.00         100.00