This section describes main characteristics of the ionosphere data set and its attributes: 
				
		General information
		
		
		
		| Ionosphere data set | 
		 
		
		
		| Type | Classification | Origin | Real world | 
		 
		
		| Features  | 33 | (Real / Integer / Nominal) | (32 / 1 / 0) | 
		 
					
			| Instances | 351 | 
			Classes | 2 | 			 
			
			| Missing values? | No | 		 
		
		 
		 
		
		Attribute description
		
		
						
				| Attribute | Domain | Attribute | Domain | Attribute | Domain | 
				 
						
		
		| Pulse1 | [0, 1] | Pulse13 | [-1.0, 1.0] | Pulse24 | [-1.0, 1.0] |  
| Pulse3 | [-1.0, 1.0] | Pulse14 | [-1.0, 1.0] | Pulse25 | [-1.0, 1.0] |  
| Pulse4 | [-1.0, 1.0] | Pulse15 | [-1.0, 1.0] | Pulse26 | [-1.0, 1.0] |  
| Pulse5 | [-1.0, 1.0] | Pulse16 | [-1.0, 1.0] | Pulse27 | [-1.0, 1.0] |  
| Pulse6 | [-1.0, 1.0] | Pulse17 | [-1.0, 1.0] | Pulse28 | [-1.0, 1.0] |  
| Pulse7 | [-1.0, 1.0] | Pulse18 | [-1.0, 1.0] | Pulse29 | [-1.0, 1.0] |  
| Pulse8 | [-1.0, 1.0] | Pulse19 | [-1.0, 1.0] | Pulse30 | [-1.0, 1.0] |  
| Pulse9 | [-1.0, 1.0] | Pulse20 | [-1.0, 1.0] | Pulse31 | [-1.0, 1.0] |  
| Pulse10 | [-1.0, 1.0] | Pulse21 | [-1.0, 1.0] | Pulse32 | [-1.0, 1.0] |  
| Pulse11 | [-1.0, 1.0] | Pulse22 | [-1.0, 1.0] | Pulse33 | [-1.0, 1.0] |  
| Pulse12 | [-1.0, 1.0] | Pulse23 | [-1.0, 1.0] | Pulse34 | [-1.0, 1.0] |  
| Class | {g, b} |  
			
			 
				 
		
				
		
		
		
		
		
		
		
		
		
		
		
		
		
		
		
		
					
			Additional information
			
			This data set is a modified version of the Ionosphere database present in the UCI repository. The second attribute has been removed due it only a single value (0) was present for it.
 
 The task is to determine if a given signal is Good (g) or Bad (b). 
			 
			
 
  
			
				
		
		
		
		
		In this section you can download some files related to the ionosphere data set: 
		
			
		
			- The complete data set already formatted in KEEL format can be downloaded from 
				here
 .			 
			- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here
 . 
			- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here
 . 
		
		- The header file associated to this data set can be downloaded from here
 . 
			
			- This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Ionosphere.
 		 
	
	
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