Iris Dataset
Machine Learning: Iris Dataset Machine Learning: Iris Dataset ¶ Lai Tai-Yu ¶ Load useful packages. Set random seed to 1. In [20]: % matplotlib inline from sklearn.datasets import load_iris from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from sklearn.discriminant_analysis import \ LinearDiscriminantAnalysis as LDA from sklearn.model_selection import cross_val_score import pandas as pd import matplotlib.pyplot as plt from sklearn.svm import SVC from xgboost import XGBClassifier from sklearn import metrics from matplotlib.colors import ListedColormap import numpy as np np . random . seed ( 1 ) Load Iris dataset. To check NaN. To choose petal length (cm) and petal width (cm) as features for our experiment. In [2]: data = load_iris ( as_frame = True ) print ( d...




































