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Questions tagged [score]

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23 views

Sklearn classification report is not printing the micro avg score for multi class classification model

There are 6 class labels encoded as 0,1,2,3,4,5 While executing classification report score it outputs accuracy,macro avg,weighted avg .The micro average score is missing in the output . Im not ...
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1answer
38 views

Cross-validation average score

I am using Repeated K-folds (RepeatedKFold(n_splits=10, n_repeats=10, random_state=999) from sklearn) to provide reliable scores for a linear regression on my ...
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1answer
12 views

shapes (127,1) and (13,) not aligned: 1 (dim 1) != 13 (dim 0) [closed]

i am try to find score of linear regression it gives me this type error my code is below ...
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0answers
50 views

R2 40% smaller after removing outliers

After removing several outliers from two variables (exactly 15 outliers) R2 score mojego XGBoosta odniżyła z 93.8% do 49.5%. XGBoost turned out to be the best model for my problem (selected on the ...
1
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1answer
94 views

ROC AUC score is better if test data is imbalanced

I have an imbalanced dataset and I'm using XGBoost to do binary classification. I used down sampling together with target and one hot encoding for train data. For ...
0
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2answers
62 views

Compare scores of models

We got several models with predictions. How can we compare scores of different models with each other? We assume that we got xgboost models and scores distribution can be different for each model, so ...
2
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1answer
36 views

Can anyone explain me the fisher score working

I have been working on feature selection and I wanted to know what does fisher score tell us about the data which helps us in feature selection.
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0answers
10 views

Scores of the objective function are very close to zero

For my model, I am using a square loss for the objective function. When I get the result of the prediction, the score given for each instance is very close to zero ($1*e^{-10}$). Does this mean that ...
1
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0answers
20 views

Multi-label learning, how to interpret the scores of instances

I am working on a multi-label learning classification problem. When I tune the hyperparameters of the model, the sign of each label (each line on the MLL) remains the same while the scores change. ...
4
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2answers
95 views

Is the F1 Score sensitive to the threshold?

Is the F1 score sensitive or indifferent to the threshold (for defining positive or negative)?
1
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0answers
28 views

Calculate rating based on different parameters

I want to predict the rating of an area based on different parameter like crime rate, number of malls, number of hospitals etc. There is no historical data available, so I don't have any training data ...
0
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0answers
4 views

What are some common sources of variance in a convolutional neural network DICE scores?

I know it's basically impossible to pinpoint the exact answer to this question without data, code, architecture, etc, but I'm curious as to if anyone has any general ideas on why this might be ...
1
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0answers
103 views

how to interpret a high AUC value but a low F1 score after upsampling minority class?

I use to gradient boosting to classify my data between default and paid. The data is very imbalanced where default is in minority. The fisrt classification report from sklearn gradient boosting ...
1
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1answer
34 views

How to measure variable contribution to an observation in a non-linear model?

Based on my model, if I decline someone due to their score, it should be able to provide some reasoning as to which variables mainly contributed to the decision to decline. Typically in Logistic ...
0
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1answer
112 views

Policy Gradient Methods - ScoreFunction & Log(policy)

In Policy Gradient Methods, Lecture 7 (34:15), David describes a Score Function as being the Gradient of the Log of the policy Question: If we have a Neural ...
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2answers
173 views

recommender system: how to compare different scores when calculated individually?

I am building a small recommender system which aims at recommending ~10 products to customers. Instead of using a multi-label classification model, I have opted to build a separate scoring model for ...
-1
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1answer
896 views

How to get relevancy score of a term with respect to text/document

I am working on the literature documents. I am able to identify important entities using NER and Ontologies. Now I will like to assign the relevance score to the identified entities with respect to ...
1
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0answers
55 views

SKLearn DT regressor - good enough score?

What constitutes as a "good enough" score for a Decision Tree Regressor? The .score() function gives us a general score about our model. This can be 1 if the model ...
1
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0answers
58 views

Score for concordance of two classifications with different number of classes

I am searching for a score to compare two different classifications of the same observations. I was thinking about Adjusted Rand Index or Adjusted Mutual Information, but the problem is that the ...
1
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0answers
614 views

Average F1 Scores - scikit learn

I know there is f1_score metric to get all types of F1 scores(micro, macro and weighted). But I want to be able to print micro averaged F1 score using classification_report of sklearn. By default, it ...