%%  Appendicitis data set
%%  
%%  1: Description.
%%  
%%  A copy of the data set proposed in: S. M. Weiss, and C. A. Kulikowski, 
%%  Computer Systems That Learn (1991).
%%  
%%  2: Type.			Classification	
%%  3: Origin.			Real world
%%  4: Instances.			106
%%  5: Features.			7
%%  6: Classes.			2	
%%  7: Missing values.	No

@relation appendicitis

@attribute V1 numeric
@attribute V2 numeric
@attribute V3 numeric
@attribute V4 numeric
@attribute V5 numeric
@attribute V6 numeric
@attribute V7 numeric
@attribute Class {1,2}

@data
0.213,0.554,0.207,0,0,0.749,0.22,2
0.458,0.714,0.468,0.111,0.102,0.741,0.436,2
0.102,0.518,0.111,0.056,0.022,0.506,0.086,2
0.187,0.196,0.105,0.056,0.029,0.133,0.085,2
0.236,0.804,0.289,0.111,0.066,0.756,0.241,2
0.116,0.161,0.057,0.333,0.14,0.177,0.049,2
0.089,0.179,0.045,0.028,0.011,0.168,0.032,2
0.364,0.661,0.365,0.319,0.25,0.743,0.353,2
0.191,0.661,0.214,0.042,0.022,0.448,0.145,2
0.12,0.25,0.076,0.125,0.053,0.224,0.059,2
0.058,0.589,0.087,0.583,0.196,0.576,0.06,2
0.071,0.321,0.057,0.069,0.025,0.129,0.016,2
1,0.768,1,0.028,0.047,0.878,1,2
0.204,0.268,0.132,0,0,0.149,0.098,2
0,0.232,0,0,0,0.421,0,2
0.364,0.786,0.408,0.042,0.033,0.71,0.344,2
0.187,0.411,0.153,0.056,0.029,0.322,0.119,2
0.378,0.732,0.402,0.278,0.223,0.687,0.35,2
0.187,0.214,0.109,0,0,0.273,0.11,2
0.298,0.375,0.222,0.153,0.105,0.412,0.216,2
0.098,0.607,0.123,0.042,0.016,0.67,0.105,2
0.391,0.893,0.471,0.306,0.251,0.922,0.428,1
0.52,0.768,0.548,0.597,0.603,0.752,0.495,1
0.369,0.768,0.406,0.153,0.121,0.685,0.342,1
0.449,0.571,0.404,0.139,0.126,0.639,0.396,1
0.2,0.911,0.28,0.208,0.113,0.745,0.207,1
0.44,0.786,0.48,0.097,0.087,0.805,0.44,1
0.413,0.714,0.428,0.028,0.024,0.73,0.393,1
0.422,0.911,0.509,0.347,0.301,0.854,0.438,1
0.302,0.482,0.258,0.069,0.048,0.599,0.263,1
0.373,1,0.49,0.264,0.21,0.827,0.384,1
0.627,0.75,0.64,0.083,0.097,0.727,0.581,1
0.298,0.839,0.36,0.208,0.143,0.856,0.32,1
0.44,0.643,0.424,0.139,0.124,0.767,0.428,1
0.396,0.464,0.322,0.611,0.506,0.366,0.274,1
0.271,0.857,0.338,0.292,0.189,0.778,0.278,1
0.284,0.857,0.352,0.389,0.259,0.448,0.214,1
0.538,0.732,0.549,0.056,0.058,0.882,0.558,1
0.32,0.946,0.415,0.208,0.15,0.765,0.319,1
0.44,0.804,0.486,0,0,0.829,0.447,1
0.378,0.589,0.352,0.181,0.145,0.574,0.319,1
0.142,0.589,0.157,0.708,0.325,0.938,0.186,1
0.52,0.804,0.564,0.361,0.364,0.816,0.518,1
0.556,0.607,0.508,0.069,0.074,0.758,0.53,1
0.453,0.946,0.556,0.167,0.152,0.834,0.461,1
0.329,0.661,0.334,0.153,0.112,0.674,0.304,1
0.409,0.75,0.437,0.097,0.082,0.765,0.399,1
0.453,0.911,0.541,0.097,0.089,0.843,0.464,1
0.062,0.75,0.114,0.625,0.214,0.82,0.09,1
0.351,0.518,0.307,0.056,0.042,0.636,0.313,1
0.413,0.732,0.434,0,0,0.896,0.442,1
0.48,0.857,0.547,0.056,0.053,0.836,0.487,1
0.44,0.768,0.473,0.347,0.31,0.696,0.406,1
0.413,0.821,0.467,0.083,0.071,0.818,0.419,1
0.378,0.518,0.328,0.292,0.234,0.512,0.302,1
0.231,0.357,0.172,0.181,0.106,0.18,0.12,1
0.573,0.75,0.59,0.361,0.392,0.956,0.619,1
0.764,0.786,0.789,0.25,0.341,0.854,0.762,1
0.236,0.75,0.276,0.333,0.174,0.78,0.246,1
0.751,0.821,0.797,0.292,0.392,0.747,0.7,1
0.36,0.821,0.415,0.194,0.151,0.698,0.338,1
0.516,0.625,0.482,0.056,0.056,0.65,0.456,1
0.502,0.857,0.569,0.528,0.519,0.832,0.506,1
0.68,0.714,0.67,0.014,0.017,0.851,0.681,1
0.627,0.893,0.711,0.097,0.113,1,0.69,1
0.511,0.786,0.547,0.139,0.138,0.741,0.483,1
0.396,0.911,0.482,0.111,0.092,0.754,0.384,1
0.662,0.714,0.654,0.278,0.338,0.537,0.533,1
0.298,0.857,0.365,0.083,0.057,0.845,0.318,1
0.493,0.732,0.508,0.056,0.054,0.661,0.441,1
0.516,0.768,0.544,0.139,0.139,0.667,0.462,1
0.427,0.589,0.393,0.181,0.158,0.754,0.412,1
0.507,0.964,0.619,0.194,0.192,0.82,0.507,1
0.467,0.643,0.448,0.083,0.078,0.743,0.444,1
0.502,0.589,0.456,0.181,0.178,0.623,0.436,1
0.796,0.786,0.818,0.556,0.784,0.876,0.803,1
0.471,0.839,0.531,0.111,0.104,0.845,0.481,1
0.622,0.75,0.635,0.264,0.306,0.787,0.601,1
0.218,0.875,0.29,0.556,0.032,0.818,0.237,1
0.684,0.589,0.607,0,0,0.862,0.69,1
0.431,0.839,0.491,0.333,0.293,0.874,0.452,1
0.587,0.875,0.662,0.625,0.692,0.911,0.616,1
0.213,0.768,0.259,1,0.563,0.528,0.177,1
0.222,0.429,0.183,0.486,0.24,0.357,0.15,1
0.613,0.929,0.715,0.069,0.08,0.849,0.618,1
0.489,0.768,0.519,0.236,0.228,0.798,0.483,1
0.556,0.875,0.63,0.458,0.486,0.927,0.591,1
0.884,0.821,0.927,0.069,0.107,0.78,0.837,1
0.027,0.5,0.05,0.625,0.182,0.654,0.043,1
0.418,0.857,0.485,0.111,0.096,0.792,0.415,1
0.524,0.75,0.544,0.153,0.155,0.714,0.486,1
0.271,0.196,0.154,0.25,0.162,0.22,0.154,1
0.471,0.679,0.466,0.208,0.196,0.556,0.388,1
0.222,0.661,0.241,0,0,0.641,0.206,1
0.613,0.643,0.574,0.319,0.366,0.738,0.574,1
0.236,0.75,0.276,0.014,0.008,0.809,0.252,1
0.591,0.625,0.546,0.028,0.031,0.576,0.492,1
0.373,0.589,0.349,0.056,0.044,0.43,0.276,1
0.4,0.589,0.371,0.514,0.429,0.716,0.377,1
0.471,0.679,0.466,0.083,0.078,0.574,0.394,1
0.778,0.732,0.769,0.722,1,0.503,0.608,1
0.449,0.875,0.523,0.083,0.076,0.92,0.487,1
0.102,0,0.022,0,0,0,0.017,1
0.409,0.875,0.482,0.306,0.259,0.914,0.443,1
0.427,0.804,0.474,0.056,0.048,0.836,0.437,1
0.462,0.911,0.551,0.167,0.154,0.931,0.5,1