Mathew K Analytics📊 Dataset · CSV
mushroom_predictions.csv
Free CSV dataset “mushroom_predictions.csv” (1,625 rows × 24 columns, 78.3 KB) used in 5 Python lessons, including “Machine Learning for Beginners in Python…
- Size78.3 KB
- Rows1,625
- Columns24
- Used in5 lessons
Preview (first rows)
| cap-shape | cap-surface | cap-color | bruises%3F | odor | gill-attachment | gill-spacing | gill-size | gill-color | stalk-shape | stalk-root | stalk-surface-above-ring |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | 3 | 3 | 0 | 2 | 1 | 0 | 0 | 7 | 0 | 0 | 1 |
| 5 | 2 | 8 | 0 | 1 | 1 | 0 | 1 | 9 | 0 | 0 | 2 |
| 5 | 0 | 8 | 0 | 5 | 1 | 1 | 0 | 7 | 1 | 2 | 2 |
| 2 | 2 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
| 5 | 0 | 9 | 0 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 1 |
| 2 | 0 | 8 | 1 | 0 | 1 | 1 | 1 | 7 | 1 | 0 | 2 |
| 2 | 3 | 9 | 1 | 0 | 1 | 0 | 0 | 5 | 0 | 3 | 2 |
| 2 | 0 | 4 | 0 | 5 | 1 | 1 | 0 | 4 | 1 | 2 | 0 |
+ 12 more columns
Columns
| Column | Type | Missing | Example |
|---|---|---|---|
cap-shape | integer | 0 | 5 |
cap-surface | integer | 0 | 3 |
cap-color | integer | 0 | 3 |
bruises%3F | integer | 0 | 0 |
odor | integer | 0 | 2 |
gill-attachment | integer | 0 | 1 |
gill-spacing | integer | 0 | 0 |
gill-size | integer | 0 | 0 |
gill-color | integer | 0 | 7 |
stalk-shape | integer | 0 | 0 |
stalk-root | integer | 0 | 0 |
stalk-surface-above-ring | integer | 0 | 1 |
stalk-surface-below-ring | integer | 0 | 1 |
stalk-color-above-ring | integer | 0 | 6 |
stalk-color-below-ring | integer | 0 | 4 |
veil-type | integer | 0 | 0 |
veil-color | integer | 0 | 2 |
ring-number | integer | 0 | 1 |
ring-type | integer | 0 | 2 |
spore-print-color | integer | 0 | 1 |
population | integer | 0 | 5 |
habitat | integer | 0 | 0 |
actual | text | 0 | p |
predicted | text | 0 | p |
Load it in Python
import pandas as pd
df = pd.read_csv("mushroom_predictions.csv")
df.head()
Lessons that use this dataset
10 minLesson 25
Machine Learning for Beginners in Python | Data Analytics #25
15 minLesson 13
Categorical Data Analysis & Chi-Square Tests | Statistics #13
15 minLesson 14
Bayesian Statistics Basics for Analysts | Statistics #14
17 minLesson 4
Decision Trees: How They Really Work | ML Algorithms #4
16 minLesson 8