Random Search for tuning classifier parameters

This example illustrates the impact of applying parameter optimization on the performance of supervised learning such as a random forest.

[code2=python] #https://jupyter.org/try
#Demo6
#M. S. Rakha, Ph.D.
# Post-Doctoral - Queen's University
# Parameter Optimization
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d import Axes3D
import pandas as pd
from sklearn.cluster import KMeans
from sklearn import datasets
from sklearn.preprocessing
...

Statistics : Posted by DrRakha • on Tue Oct 29, 2019 3:04 pm • Replies 0 • Views 574

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