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Results tagged with machine-learning
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user 139758
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
0
votes
What actually is model size scaling and how do i globally apply to every model?
From the paper and as I understand it:
Increasing width is about increasing the number of convolutional filters.
Increasing depth is increasing the number of layers.
Increasing resolution is about usi …
- 198
1
vote
Accepted
Top N accuracy for an imbalanced multiclass classification problem
Sounds like your minority class is being poorly predicted and affecting your macro f1 score (see this answer for more info
From the sklearns top k accuracy score documentation you can pass a list of w …
- 198
1
vote
How can I create new dataset maintaining the same trend from an existing dataset?
I am guessing you are hinting that you want new data where the relationship between columns is maintained (otherwise it would be easy just to create semi-random data using the values already seen).
If …
- 198
1
vote
Encoding Colour Output for a Sequential Neural Network
I guess a 10% error in red is the same value to you as a 10% error in blue or green.
But is the same true in HSV?
I only ask as in your domain there might be a preference in which case you could have …
- 198
0
votes
If we train a binary classifier (lets say tree based) to predict ordinal data do they learn ...
Are you saying you have this as the data?
import numpy as np
import pandas as pd
df = pd.DataFrame()
df['student'] = [f'student_{i}' for i in range (10)]
df['maths'] = np.random.choice(['high score', …
- 198
4
votes
Accepted
Different result of classification with same classifier and same input parameters
From sklearns random forest documentation:
random_state int, RandomState instance or None, default=None
Controls both the randomness of the bootstrapping of the samples used when building trees (if b …
- 198
1
vote
progress bar for GridSearchCV
From the sklearn documentation on gridsearchCV
verbose (int)
Controls the verbosity: the higher, the more messages.
1 : the computation time for each fold and parameter candidate is displayed;
2 : th …
- 198
2
votes
Should I split data into train/validation/test before feature scaling and feature selection ...
Strictly you should not act as if you know things in your test set.
If you want to perform min-max scaling (for instance) you should fit the min-max scaler to your training set. Then use this to trans …
- 198