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SepalLengthCm
float64
-1.79
2.41
SepalWidthCm
float64
-2.35
2.45
PetalLengthCm
float64
-1.53
1.77
PetalWidthCm
float64
-1.47
1.7
Species
int64
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Clasificación de Especies de Flores

Descripción del Dataset

Modelo de clasificación multiclase para predecir especies de flores usando el dataset gusdelact/dumy00

Información General

  • Autor: gusdelact
  • Fecha de creación: 2026-05-16
  • Fuente original: gusdelact/dumy00
  • Licencia: Apache-2.0

Composición del Dataset

  • Filas: 150
  • Columnas: 5
  • Variable target: Species

Preprocesamiento Aplicado

  • Eliminación de duplicados (3 registros)
  • Clipping de outliers con IQR (factor 1.6)
  • Escalado StandardScaler para variables numéricas
  • Separación train/test con ratio 0.2 estratificado

Uso Previsto

Este dataset curado está diseñado para entrenamiento de modelos de clasificación de especies de flores (Iris).

Variables

  • SepalLengthCm: Largo del sépalo en cm
  • SepalWidthCm: Ancho del sépalo en cm
  • PetalLengthCm: Largo del pétalo en cm
  • PetalWidthCm: Ancho del pétalo en cm
  • Species: Especie de flor (Iris-setosa, Iris-versicolor, Iris-virginica)
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