Classification
Practical Econometrics & Data Science
Book I: Cross-sectional data
Preface
Regression
1
Datasets
2
Tasks
Example: linear regression
3
Exploratory Data Analysis
4
Model specification
5
Hypothesis testing
6
Updating and re-fiting the model
7
Prediction
8
Model adequacy
Classification
9
Datasets
10
Tasks
Example: binary classification
11
Exploratory Data Analysis
12
Logistic regression model
13
Other Classification methods
14
Model comparison on the training set
15
Model comparison on the test set
16
License
References
Classification
This section contains datasets and tasks for
binary
classification.
8
Model adequacy
9
Datasets