Merge pull request scikit-learn#5634 from sieben/space_indentation

Space indentation

Author: agramfort

sklearn/datasets/descr/breast_cancer.rst

@@ -19,52 +19,51 @@ Data Set Characteristics:
         - concave points (number of concave portions of the contour)
         - symmetry 
         - fractal dimension ("coastline approximation" - 1)
-        
+
         The mean, standard error, and "worst" or largest (mean of the three
         largest values) of these features were computed for each image,
         resulting in 30 features.  For instance, field 3 is Mean Radius, field
         13 is Radius SE, field 23 is Worst Radius.
-        
+
         - class:
                 - WDBC-Malignant
                 - WDBC-Benign
 
     :Summary Statistics:
-
-    ===================================== ======= ========
-                                           Min     Max
-    ===================================== ======= ========
-    radius (mean):                         6.981   28.11
-    texture (mean):                        9.71    39.28
-    perimeter (mean):                      43.79   188.5
-    area (mean):                           143.5   2501.0
-    smoothness (mean):                     0.053   0.163
-    compactness (mean):                    0.019   0.345
-    concavity (mean):                      0.0     0.427
-    concave points (mean):                 0.0     0.201
-    symmetry (mean):                       0.106   0.304
-    fractal dimension (mean):              0.05    0.097
-    radius (standard error):               0.112   2.873
-    texture (standard error):              0.36    4.885
-    perimeter (standard error):            0.757   21.98
-    area (standard error):                 6.802   542.2
-    smoothness (standard error):           0.002   0.031
-    compactness (standard error):          0.002   0.135
-    concavity (standard error):            0.0     0.396
-    concave points (standard error):       0.0     0.053
-    symmetry (standard error):             0.008   0.079
-    fractal dimension (standard error):    0.001   0.03
-    radius (worst):                        7.93    36.04
-    texture (worst):                       12.02   49.54
-    perimeter (worst):                     50.41   251.2
-    area (worst):                          185.2   4254.0
-    smoothness (worst):                    0.071   0.223
-    compactness (worst):                   0.027   1.058
-    concavity (worst):                     0.0     1.252
-    concave points (worst):                0.0     0.291
-    symmetry (worst):                      0.156   0.664
-    fractal dimension (worst):             0.055   0.208
-    ===================================== ======= ========
+    ===================================== ====== ======
+                                           Min    Max
+    ===================================== ====== ======
+    radius (mean):                        6.981  28.11
+    texture (mean):                       9.71   39.28
+    perimeter (mean):                     43.79  188.5
+    area (mean):                          143.5  2501.0
+    smoothness (mean):                    0.053  0.163
+    compactness (mean):                   0.019  0.345
+    concavity (mean):                     0.0    0.427
+    concave points (mean):                0.0    0.201
+    symmetry (mean):                      0.106  0.304
+    fractal dimension (mean):             0.05   0.097
+    radius (standard error):              0.112  2.873
+    texture (standard error):             0.36   4.885
+    perimeter (standard error):           0.757  21.98
+    area (standard error):                6.802  542.2
+    smoothness (standard error):          0.002  0.031
+    compactness (standard error):         0.002  0.135
+    concavity (standard error):           0.0    0.396
+    concave points (standard error):      0.0    0.053
+    symmetry (standard error):            0.008  0.079
+    fractal dimension (standard error):   0.001  0.03
+    radius (worst):                       7.93   36.04
+    texture (worst):                      12.02  49.54
+    perimeter (worst):                    50.41  251.2
+    area (worst):                         185.2  4254.0
+    smoothness (worst):                   0.071  0.223
+    compactness (worst):                  0.027  1.058
+    concavity (worst):                    0.0    1.252
+    concave points (worst):               0.0    0.291
+    symmetry (worst):                     0.156  0.664
+    fractal dimension (worst):            0.055  0.208
+    ===================================== ====== ======
 
     :Missing Attribute Values: None
 
@@ -109,8 +108,8 @@ References
 ----------
    - W.N. Street, W.H. Wolberg and O.L. Mangasarian. Nuclear feature extraction 
      for breast tumor diagnosis. IS&T/SPIE 1993 International Symposium on 
-     Electronic Imaging: Science and Technology, volume 1905, pages 861-870, 
-     San Jose, CA, 1993. 
+     Electronic Imaging: Science and Technology, volume 1905, pages 861-870,
+     San Jose, CA, 1993.
    - O.L. Mangasarian, W.N. Street and W.H. Wolberg. Breast cancer diagnosis and 
      prognosis via linear programming. Operations Research, 43(4), pages 570-577, 
      July-August 1995.