rhiever

Dataset                                                     Pipeline
collins                                                     _random_forest(ARG0, 25, sub(62, 45))
collins                                                     _random_forest(ARG0, 36, 20)
collins                                                     _decision_tree(ARG0, 25, 81)
collins                                                     _decision_tree(ARG0, 16, 54)
collins                                                     _xgradient_boosting(ARG0, 0.01, 98, 36)
collins                                                     _xgradient_boosting(ARG0, 0.1, 32, 14)
collins                                                     _xgradient_boosting(ARG0, 1.0, 54, 39)
collins                                                     _decision_tree(ARG0, 94, 24)
collins                                                     _random_forest(ARG0, 100, 41)

rhiever

rhiever

from sklearn.datasets import load_digits
from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
from sklearn.metrics import recall_score
import numpy as np
import pandas as pd

digits = load_digits(10)
features, labels = digits['data'], digits['target']

rhiever

rhiever

rhiever

import urllib2
import time
import os

# Make a directory to store all of the HTML pages
os.system("mkdir pages")

# Download the raw HTML of all pages
for year in range(1982, 2015):
    for week in range(1, 53):

rhiever

# Author: Randal S. Olson (randalolson.com / @randal_olson)
# Uses Tableau's Tableau10 color scheme

figure.figsize: 12, 7
figure.edgecolor: white
figure.facecolor: white

lines.linewidth: 2.5
lines.markeredgewidth: 0
lines.markersize: 10

rhiever

# Author: Randal S. Olson (randalolson.com / @randal_olson)
# Uses Tableau's Tableau20 color scheme

figure.figsize: 12, 7
figure.edgecolor: white
figure.facecolor: white

lines.linewidth: 2.5
lines.markeredgewidth: 0
lines.markersize: 10

rhiever

rhiever