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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'] |
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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) |
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# 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 |
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# 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 |
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