rakha asyrofi
/
KNN_coba
machine learning mbed
Diff: dataset.h
- Revision:
- 0:b78c322e81d0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/dataset.h Sat Apr 14 04:02:05 2018 +0000 @@ -0,0 +1,220 @@ +// tamaño de la base de datos +// Size of the database to account for the accuracy test + +#define FI 100 +#define CO 4 + +// clases de la base de datos en alfanumerico +// Classes alphanumeric database +char* clasesSt[] = {"Setosa", "Versicolor", "Virginica"}; + +// atributos: conjunto de entrenamiento +// Attributes: training set +char* nomAtr[CO]={"Largo sepalo", "Ancho sepalo", "Largo petalo", "Ancho petalo"}; + +double atributos[FI][CO] = { + {4.4, 3, 1.3, 0.2}, + {7.6, 3, 6.6, 2.1}, + {6.5, 2.8, 4.6, 1.5}, + {5.6, 2.8, 4.9, 2}, + {7.2, 3, 5.8, 1.6}, + {5.5, 2.3, 4, 1.3}, + {5, 2, 3.5, 1}, + {5.5, 2.4, 3.8, 1.1}, + {5.4, 3.9, 1.7, 0.4}, + {5.5, 4.2, 1.4, 0.2}, + {5.8, 2.8, 5.1, 2.4}, + {4.6, 3.6, 1, 0.2}, + {4.8, 3.1, 1.6, 0.2}, + {6.9, 3.1, 4.9, 1.5}, + {5.8, 2.7, 5.1, 1.9}, + {5.7, 3.8, 1.7, 0.3}, + {6.4, 2.8, 5.6, 2.2}, + {6.1, 2.6, 5.6, 1.4}, + {6, 3.4, 4.5, 1.6}, + {6.7, 3.1, 4.7, 1.5}, + {5.1, 3.5, 1.4, 0.2}, + {6.3, 2.8, 5.1, 1.5}, + {6.3, 2.9, 5.6, 1.8}, + {6.7, 3.3, 5.7, 2.1}, + {4.9, 3, 1.4, 0.2}, + {6.9, 3.2, 5.7, 2.3}, + {5, 3.5, 1.6, 0.6}, + {5.1, 2.5, 3, 1.1}, + {4.8, 3, 1.4, 0.3}, + {7, 3.2, 4.7, 1.4}, + {6.3, 3.3, 4.7, 1.6}, + {5.4, 3.9, 1.3, 0.4}, + {5.7, 2.6, 3.5, 1}, + {6.7, 3.3, 5.7, 2.5}, + {7.7, 2.6, 6.9, 2.3}, + {6, 2.7, 5.1, 1.6}, + {5.6, 2.7, 4.2, 1.3}, + {6.4, 3.1, 5.5, 1.8}, + {4.9, 3.1, 1.5, 0.1}, + {5.2, 4.1, 1.5, 0.1}, + {4.3, 3, 1.1, 0.1}, + {5, 2.3, 3.3, 1}, + {5.8, 4, 1.2, 0.2}, + {6.3, 2.3, 4.4, 1.3}, + {6.2, 2.8, 4.8, 1.8}, + {5.5, 2.6, 4.4, 1.2}, + {6.7, 2.5, 5.8, 1.8}, + {6.7, 3, 5, 1.7}, + {6.8, 2.8, 4.8, 1.4}, + {6.3, 3.4, 5.6, 2.4}, + {6.2, 2.2, 4.5, 1.5}, + {5.4, 3, 4.5, 1.5}, + {6.5, 3, 5.2, 2}, + {6.2, 2.9, 4.3, 1.3}, + {5.1, 3.3, 1.7, 0.5}, + {4.8, 3, 1.4, 0.1}, + {6, 2.2, 5, 1.5}, + {5.2, 2.7, 3.9, 1.4}, + {7.7, 3.8, 6.7, 2.2}, + {5.9, 3, 5.1, 1.8}, + {6.3, 3.3, 6, 2.5}, + {5, 3.4, 1.5, 0.2}, + {6.7, 3, 5.2, 2.3}, + {6.4, 2.8, 5.6, 2.1}, + {5.2, 3.4, 1.4, 0.2}, + {5.1, 3.4, 1.5, 0.2}, + {5.1, 3.8, 1.9, 0.4}, + {5.4, 3.7, 1.5, 0.2}, + {5.6, 2.5, 3.9, 1.1}, + {5.7, 3, 4.2, 1.2}, + {5, 3.3, 1.4, 0.2}, + {6.5, 3, 5.5, 1.8}, + {5.3, 3.7, 1.5, 0.2}, + {4.8, 3.4, 1.9, 0.2}, + {6.7, 3.1, 4.4, 1.4}, + {6.5, 3.2, 5.1, 2}, + {4.5, 2.3, 1.3, 0.3}, + {7.2, 3.2, 6, 1.8}, + {5.1, 3.8, 1.6, 0.2}, + {7.1, 3, 5.9, 2.1}, + {6, 2.9, 4.5, 1.5}, + {6.4, 3.2, 4.5, 1.5}, + {4.7, 3.2, 1.6, 0.2}, + {6.4, 2.7, 5.3, 1.9}, + {6.8, 3.2, 5.9, 2.3}, + {5, 3.5, 1.3, 0.3}, + {6.9, 3.1, 5.1, 2.3}, + {5.5, 2.5, 4, 1.3}, + {5.7, 4.4, 1.5, 0.4}, + {4.6, 3.1, 1.5, 0.2}, + {4.9, 3.1, 1.5, 0.1}, + {5.6, 3, 4.5, 1.5}, + {5.6, 3, 4.1, 1.3}, + {4.7, 3.2, 1.3, 0.2}, + {5, 3.2, 1.2, 0.2}, + {7.7, 2.8, 6.7, 2}, + {5.7, 2.8, 4.5, 1.3}, + {5.4, 3.4, 1.5, 0.4}, + {4.6, 3.2, 1.4, 0.2}}; + +int clasesNo[FI] = { + 0, + 2, + 1, + 2, + 2, + 1, + 1, + 1, + 0, + 0, + 2, + 0, + 0, + 1, + 2, + 0, + 2, + 2, + 1, + 1, + 0, + 2, + 2, + 2, + 0, + 2, + 0, + 1, + 0, + 1, + 1, + 0, + 1, + 2, + 2, + 1, + 1, + 2, + 0, + 0, + 0, + 1, + 0, + 1, + 2, + 1, + 2, + 1, + 1, + 2, + 1, + 1, + 2, + 1, + 0, + 0, + 2, + 1, + 2, + 2, + 2, + 0, + 2, + 2, + 0, + 0, + 0, + 0, + 1, + 1, + 0, + 2, + 0, + 0, + 1, + 2, + 0, + 2, + 0, + 2, + 1, + 1, + 0, + 2, + 2, + 0, + 2, + 1, + 0, + 0, + 0, + 1, + 1, + 0, + 0, + 2, + 1, + 0, + 0}; + + + + +