ee.ConfusionMatrix

Creates a confusion matrix. Axis 0 (the rows) of the matrix correspond to the actual values, and Axis 1 (the columns) to the predicted values.
Usage Returns
ee.ConfusionMatrix(array, order ) ConfusionMatrix
Argument Type Details
array
Object A square, 2D array of integers, representing the confusion matrix. Note that unlike the ee.Array constructor, this argument cannot take a list.
order
List, default: null The row and column size and order, for non-contiguous or non-zero based matrices.

Examples

Code Editor (JavaScript)

 // A confusion matrix. Rows correspond to actual values, columns to 
 // predicted values. 
 var 
  
 array 
  
 = 
  
 ee 
 . 
 Array 
 ([[ 
 32 
 , 
  
 0 
 , 
  
 0 
 , 
  
 0 
 , 
  
 1 
 , 
  
 0 
 ], 
  
 [ 
  
 0 
 , 
  
 5 
 , 
  
 0 
 , 
  
 0 
 , 
  
 1 
 , 
  
 0 
 ], 
  
 [ 
  
 0 
 , 
  
 0 
 , 
  
 1 
 , 
  
 3 
 , 
  
 0 
 , 
  
 0 
 ], 
  
 [ 
  
 0 
 , 
  
 1 
 , 
  
 4 
 , 
  
 26 
 , 
  
 8 
 , 
  
 0 
 ], 
  
 [ 
  
 0 
 , 
  
 0 
 , 
  
 0 
 , 
  
 7 
 , 
  
 15 
 , 
  
 0 
 ], 
  
 [ 
  
 0 
 , 
  
 0 
 , 
  
 0 
 , 
  
 1 
 , 
  
 0 
 , 
  
 5 
 ]]); 
 print 
 ( 
 'Constructed confusion matrix' 
 , 
  
 ee 
 . 
 ConfusionMatrix 
 ( 
 array 
 )); 
 // The "order" parameter refers to row and column class labels. When 
 // unspecified, the class labels are assumed to be a 0-based sequence 
 // incrementing by 1 with a length equal to row/column size. 
 print 
 ( 
 'Default row/column labels (unspecified "order" parameter)' 
 , 
  
 ee 
 . 
 ConfusionMatrix 
 ({ 
 array 
 : 
  
 array 
 , 
  
 order 
 : 
  
 null 
 }). 
 order 
 ()); 
 // Set the "order" parameter when custom class label integers are required. The 
 // list of integer value labels should correspond to the matrix axes left to 
 // right / top to bottom. 
 var 
  
 order 
  
 = 
  
 [ 
 11 
 , 
  
 22 
 , 
  
 42 
 , 
  
 52 
 , 
  
 71 
 , 
  
 81 
 ]; 
 print 
 ( 
 'Specified row/column labels (specified "order" parameter)' 
 , 
  
 ee 
 . 
 ConfusionMatrix 
 ({ 
 array 
 : 
  
 array 
 , 
  
 order 
 : 
  
 order 
 }). 
 order 
 ()); 

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

 import 
  
 ee 
 import 
  
 geemap.core 
  
 as 
  
 geemap 

Colab (Python)

 from 
  
 pprint 
  
 import 
 pprint 
 # A confusion matrix. Rows correspond to actual values, columns to 
 # predicted values. 
 array 
 = 
 ee 
 . 
 Array 
 ([[ 
 32 
 , 
 0 
 , 
 0 
 , 
 0 
 , 
 1 
 , 
 0 
 ], 
 [ 
 0 
 , 
 5 
 , 
 0 
 , 
 0 
 , 
 1 
 , 
 0 
 ], 
 [ 
 0 
 , 
 0 
 , 
 1 
 , 
 3 
 , 
 0 
 , 
 0 
 ], 
 [ 
 0 
 , 
 1 
 , 
 4 
 , 
 26 
 , 
 8 
 , 
 0 
 ], 
 [ 
 0 
 , 
 0 
 , 
 0 
 , 
 7 
 , 
 15 
 , 
 0 
 ], 
 [ 
 0 
 , 
 0 
 , 
 0 
 , 
 1 
 , 
 0 
 , 
 5 
 ]]) 
 print 
 ( 
 'Constructed confusion matrix:' 
 ) 
 pprint 
 ( 
 ee 
 . 
 ConfusionMatrix 
 ( 
 array 
 ) 
 . 
 getInfo 
 ()) 
 # The "order" parameter refers to row and column class labels. When 
 # unspecified, the class labels are assumed to be a 0-based sequence 
 # incrementing by 1 with a length equal to row/column size. 
 print 
 ( 
 'Default row/column labels (unspecified "order" parameter):' 
 , 
 ee 
 . 
 ConfusionMatrix 
 ( 
 array 
 , 
 None 
 ) 
 . 
 order 
 () 
 . 
 getInfo 
 ()) 
 # Set the "order" parameter when custom class label integers are required. The 
 # list of integer value labels should correspond to the matrix axes left to 
 # right / top to bottom. 
 order 
 = 
 [ 
 11 
 , 
 22 
 , 
 42 
 , 
 52 
 , 
 71 
 , 
 81 
 ] 
 print 
 ( 
 'Specified row/column labels (specified "order" parameter):' 
 , 
 ee 
 . 
 ConfusionMatrix 
 ( 
 array 
 , 
 order 
 ) 
 . 
 order 
 () 
 . 
 getInfo 
 ()) 
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