Question: Load the iris sample dataset from sklearn (load iris()) into Python using a Pandas dataframe. Induce a set of binary Decision Trees with a minimum

Load the iris sample dataset from sklearn (load iris()) into Python using a Pandas dataframe. Induce a set of binary Decision Trees with a minimum of 2 instances in the leaves, no splits of subsets below 5, and an maximal tree depth from 1 to 5 (you can leave other parameters at their defaults). Which depth values result in the highest Recall? Why? Which value resulted in the lowest Precision? Why? Which value results in the best F1 score? Explain the dierence between the micro/macro/weighted methods of score calculation.

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

2. Practicum Problems It is suggested that a Jupyter/IPython notebook be used for the programmatic components. 2.1 Problem 1 Load the iris sample dataset from sklearn (load_iris()) into Python using...

1)Load the iris sample dataset from sklearn (load_iris()) into Python using a Pandas dataframe. Induce a set of binary Decision Trees with a minimum of 2 instances in the leaves, no splits of subsets...

Using the Scikit-Learn Dataset To load the sample scikit data set, import the datasets module and load the desired dataset. Code Run: from sklearn import datasets import pandas as pd diabetes =...

Decision Trees ( DTs ) are a non - parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning...

4.5 LAB: Using the Decision TreeClassifier() on the iris data Write a program that splits a dataset into training and test set, builds a classification tree, and outputs a confusion matrix. The...

Instructions: 1 ) The . ipynb file shall include not only the source code but also necessary plots / figures and discussions which include your observations, thoughts, and insights. 2 ) Please avoid...

4.5 LAB: Using the DecisionTreeClassifier() on the iris data Write a program that splits a dataset into training and test set, builds a classification tree, and outputs a confusion matrix. The...

Load the Breast Cancer Wisconsin (Diagnostic) sample dataset from the UCI Machine Learning Repository (The discrete version at: breast-cancerwisconsin.data) into Python using a Pandas dataframe....

Load the Breast Cancer Wisconsin (Diagnostic) sample dataset from the UCI Machine Learning Repository (The discrete version at: breast-cancer- wisconsin.data) into Python using a Pandas dataframe....

Given Python code to train a shallow decision tree for the classification of flowers. The input features are the flowers sepal length, sepal width, petal length, and petal width, and the label...

The following return forecasts are for two stocks, Mars and Venus: Bear market Normal 0.5 10% 10% Probability Mars Venus 0.3 -8% -5% Bull market 0.2 35% 25% From this forecast, the expected returns...

Demand for an item is steady at 20 units a week and the economic order quantity has been calculated at 50 units. What is the reorder level when the lead time is (a) 1 week, (b) 2 weeks?

5. A company has received orders for supplying 50 units of product X and 60 units of product Y, both to be supplied in 12 weeks. The product structures of these products are given in Figure 14.12....

Which of Hofstedes dimensions analyzed the relationship between work and gender roles? Power distance Masculinity versus femininity Long-term orientation Time orientation 2. Hofstede's study isolated...

2. Discuss the pros and cons of commissions versus straight pay for salespeople.pg 87

1. Discuss the main incentives for individual employees.pg 87

3. Name and define the most popular organizationwide incentive plans.pg 87