rakha asyrofi
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KNN_coba
machine learning mbed
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dataset.h
00001 // tamaño de la base de datos 00002 // Size of the database to account for the accuracy test 00003 00004 #define FI 100 00005 #define CO 4 00006 00007 // clases de la base de datos en alfanumerico 00008 // Classes alphanumeric database 00009 char* clasesSt[] = {"Setosa", "Versicolor", "Virginica"}; 00010 00011 // atributos: conjunto de entrenamiento 00012 // Attributes: training set 00013 char* nomAtr[CO]={"Largo sepalo", "Ancho sepalo", "Largo petalo", "Ancho petalo"}; 00014 00015 double atributos[FI][CO] = { 00016 {4.4, 3, 1.3, 0.2}, 00017 {7.6, 3, 6.6, 2.1}, 00018 {6.5, 2.8, 4.6, 1.5}, 00019 {5.6, 2.8, 4.9, 2}, 00020 {7.2, 3, 5.8, 1.6}, 00021 {5.5, 2.3, 4, 1.3}, 00022 {5, 2, 3.5, 1}, 00023 {5.5, 2.4, 3.8, 1.1}, 00024 {5.4, 3.9, 1.7, 0.4}, 00025 {5.5, 4.2, 1.4, 0.2}, 00026 {5.8, 2.8, 5.1, 2.4}, 00027 {4.6, 3.6, 1, 0.2}, 00028 {4.8, 3.1, 1.6, 0.2}, 00029 {6.9, 3.1, 4.9, 1.5}, 00030 {5.8, 2.7, 5.1, 1.9}, 00031 {5.7, 3.8, 1.7, 0.3}, 00032 {6.4, 2.8, 5.6, 2.2}, 00033 {6.1, 2.6, 5.6, 1.4}, 00034 {6, 3.4, 4.5, 1.6}, 00035 {6.7, 3.1, 4.7, 1.5}, 00036 {5.1, 3.5, 1.4, 0.2}, 00037 {6.3, 2.8, 5.1, 1.5}, 00038 {6.3, 2.9, 5.6, 1.8}, 00039 {6.7, 3.3, 5.7, 2.1}, 00040 {4.9, 3, 1.4, 0.2}, 00041 {6.9, 3.2, 5.7, 2.3}, 00042 {5, 3.5, 1.6, 0.6}, 00043 {5.1, 2.5, 3, 1.1}, 00044 {4.8, 3, 1.4, 0.3}, 00045 {7, 3.2, 4.7, 1.4}, 00046 {6.3, 3.3, 4.7, 1.6}, 00047 {5.4, 3.9, 1.3, 0.4}, 00048 {5.7, 2.6, 3.5, 1}, 00049 {6.7, 3.3, 5.7, 2.5}, 00050 {7.7, 2.6, 6.9, 2.3}, 00051 {6, 2.7, 5.1, 1.6}, 00052 {5.6, 2.7, 4.2, 1.3}, 00053 {6.4, 3.1, 5.5, 1.8}, 00054 {4.9, 3.1, 1.5, 0.1}, 00055 {5.2, 4.1, 1.5, 0.1}, 00056 {4.3, 3, 1.1, 0.1}, 00057 {5, 2.3, 3.3, 1}, 00058 {5.8, 4, 1.2, 0.2}, 00059 {6.3, 2.3, 4.4, 1.3}, 00060 {6.2, 2.8, 4.8, 1.8}, 00061 {5.5, 2.6, 4.4, 1.2}, 00062 {6.7, 2.5, 5.8, 1.8}, 00063 {6.7, 3, 5, 1.7}, 00064 {6.8, 2.8, 4.8, 1.4}, 00065 {6.3, 3.4, 5.6, 2.4}, 00066 {6.2, 2.2, 4.5, 1.5}, 00067 {5.4, 3, 4.5, 1.5}, 00068 {6.5, 3, 5.2, 2}, 00069 {6.2, 2.9, 4.3, 1.3}, 00070 {5.1, 3.3, 1.7, 0.5}, 00071 {4.8, 3, 1.4, 0.1}, 00072 {6, 2.2, 5, 1.5}, 00073 {5.2, 2.7, 3.9, 1.4}, 00074 {7.7, 3.8, 6.7, 2.2}, 00075 {5.9, 3, 5.1, 1.8}, 00076 {6.3, 3.3, 6, 2.5}, 00077 {5, 3.4, 1.5, 0.2}, 00078 {6.7, 3, 5.2, 2.3}, 00079 {6.4, 2.8, 5.6, 2.1}, 00080 {5.2, 3.4, 1.4, 0.2}, 00081 {5.1, 3.4, 1.5, 0.2}, 00082 {5.1, 3.8, 1.9, 0.4}, 00083 {5.4, 3.7, 1.5, 0.2}, 00084 {5.6, 2.5, 3.9, 1.1}, 00085 {5.7, 3, 4.2, 1.2}, 00086 {5, 3.3, 1.4, 0.2}, 00087 {6.5, 3, 5.5, 1.8}, 00088 {5.3, 3.7, 1.5, 0.2}, 00089 {4.8, 3.4, 1.9, 0.2}, 00090 {6.7, 3.1, 4.4, 1.4}, 00091 {6.5, 3.2, 5.1, 2}, 00092 {4.5, 2.3, 1.3, 0.3}, 00093 {7.2, 3.2, 6, 1.8}, 00094 {5.1, 3.8, 1.6, 0.2}, 00095 {7.1, 3, 5.9, 2.1}, 00096 {6, 2.9, 4.5, 1.5}, 00097 {6.4, 3.2, 4.5, 1.5}, 00098 {4.7, 3.2, 1.6, 0.2}, 00099 {6.4, 2.7, 5.3, 1.9}, 00100 {6.8, 3.2, 5.9, 2.3}, 00101 {5, 3.5, 1.3, 0.3}, 00102 {6.9, 3.1, 5.1, 2.3}, 00103 {5.5, 2.5, 4, 1.3}, 00104 {5.7, 4.4, 1.5, 0.4}, 00105 {4.6, 3.1, 1.5, 0.2}, 00106 {4.9, 3.1, 1.5, 0.1}, 00107 {5.6, 3, 4.5, 1.5}, 00108 {5.6, 3, 4.1, 1.3}, 00109 {4.7, 3.2, 1.3, 0.2}, 00110 {5, 3.2, 1.2, 0.2}, 00111 {7.7, 2.8, 6.7, 2}, 00112 {5.7, 2.8, 4.5, 1.3}, 00113 {5.4, 3.4, 1.5, 0.4}, 00114 {4.6, 3.2, 1.4, 0.2}}; 00115 00116 int clasesNo[FI] = { 00117 0, 00118 2, 00119 1, 00120 2, 00121 2, 00122 1, 00123 1, 00124 1, 00125 0, 00126 0, 00127 2, 00128 0, 00129 0, 00130 1, 00131 2, 00132 0, 00133 2, 00134 2, 00135 1, 00136 1, 00137 0, 00138 2, 00139 2, 00140 2, 00141 0, 00142 2, 00143 0, 00144 1, 00145 0, 00146 1, 00147 1, 00148 0, 00149 1, 00150 2, 00151 2, 00152 1, 00153 1, 00154 2, 00155 0, 00156 0, 00157 0, 00158 1, 00159 0, 00160 1, 00161 2, 00162 1, 00163 2, 00164 1, 00165 1, 00166 2, 00167 1, 00168 1, 00169 2, 00170 1, 00171 0, 00172 0, 00173 2, 00174 1, 00175 2, 00176 2, 00177 2, 00178 0, 00179 2, 00180 2, 00181 0, 00182 0, 00183 0, 00184 0, 00185 1, 00186 1, 00187 0, 00188 2, 00189 0, 00190 0, 00191 1, 00192 2, 00193 0, 00194 2, 00195 0, 00196 2, 00197 1, 00198 1, 00199 0, 00200 2, 00201 2, 00202 0, 00203 2, 00204 1, 00205 0, 00206 0, 00207 0, 00208 1, 00209 1, 00210 0, 00211 0, 00212 2, 00213 1, 00214 0, 00215 0}; 00216 00217 00218 00219 00220
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