import os import pandas from pandas.plotting import scatter_matrix import matplotlib.pyplot as plt from sklearn import model_selection from sklearn.metrics import classification_report from sklearn.metrics import confusion_matrix from sklearn.metrics import accuracy_score from sklearn.linear_model import LogisticRegression from sklearn.tree import DecisionTreeClassifier from sklearn.neighbors import KNeighborsClassifier from sklearn.discriminant_analysis import LinearDiscriminantAnalysis from sklearn.naive_bayes import GaussianNB from sklearn.svm import SVC

pokemon = "pokemon.csv" info = ['ID', 'Index', 'Species', 'Forme', 'Type 1', 'Type 2', 'Ability 1', 'Ability 2', 'Ability H', 'HP', 'Attack', 'Defense', 'Sp. Attack', 'Sp. Defense', 'Speed', 'Total', 'Weight', 'Height', 'Dex 1', 'Dex 2', 'Class', 'Percent Male', 'Percent Female', 'Pre-Evolution', 'Egg Group 1', 'Egg Group 2'] dataset = pandas.read_csv(pokemon, names=info)

print(dataset.describe())