Created
February 5, 2019 20:58
-
-
Save johanvanderkuijl/fc0cad135559c40dd88e681a160becb0 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python3 | |
import numpy as np | |
import pandas as pd | |
from sklearn.model_selection import train_test_split | |
from sklearn.metrics import accuracy_score | |
url = "https://raw.githubusercontent.com/jadeyee/r2d3-part-1-data/master/part_1_data.csv" | |
df = pd.read_csv(url, header=2) | |
#print(df.describe()) | |
# X = the data | |
X = df.iloc[:,1:].to_numpy() | |
# Y = the labels | |
Y = df.iloc[:,0].to_numpy() | |
# split the set | |
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.1) | |
print(X_train.shape, y_train.shape) | |
print(X_test.shape, y_test.shape) | |
from sklearn.naive_bayes import GaussianNB | |
from sklearn.neighbors import KNeighborsClassifier | |
from sklearn.ensemble import RandomForestClassifier | |
#clf = GaussianNB() | |
#clf = KNeighborsClassifier(n_neighbors=3) | |
clf = RandomForestClassifier(n_estimators=100, max_depth=2,random_state=0) | |
clf.fit(X_train, y_train) | |
score = clf.score(X_test, y_test) | |
print(score) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment