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# Metrics
Precision and recall were calculated to evaluate the performance of each model and compare the performance of various models. Confusion matrix plotted for better understanding.
## Precis…
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I get below error when i am trying to calculate performance metrics for a multi-class classification model.
ValueError: Target is multiclass but average='binary'. Please choose another average sett…
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I get below error when i am trying to calculate performance metrics for a multi-class classification model.
ValueError: Target is multiclass but average='binary'. Please choose another average set…
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Hello, the latest version seems to have broken all commands i use.
See the debug:
[matroska,webm @ 00000270f30fe540] Before avformat_find_stream_info() pos: 1773 bytes read:32768 seeks:0 nb_stre…
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- Sort all predictions by error (truth - predicted)
- For top 10 errors:
- report the company name
- report top 5 features weighted by (abs(feature value \* model coefficient))
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Dear DotHash team,
Thanks for a nice paper, I have 2 questions related to both MinHash and link prediction:
1. What MinHash was used, on permutation hashing with optimal densification (http://pr…
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I am facing an issue when i am trying to build multiclass classification model
here is my code from starting
import pandas as pd
data=pd.read_csv('/content/Normalized_Data_PBLD.csv')
y=data['l…
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We want to add more variants to https://github.com/heidmic/suprb/blob/master/suprb/solution/mixing_model.py
Current mixing is making a model prediction based on all matching classifier's prediction…
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Hi Vincent,
I was testing the marginaleffects with cox regression.
I get slightly different results that using predict from survival (point estimate).
```
library(survival)
library(riskRegres…
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Research and develop a voting mechanism to choose what prediction to use in the overall framework