Questions tagged [score]

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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 ...
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18 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. ...
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2answers
85 views

Is the F1 Score sensitive to the threshold?

Is the F1 score sensitive or indifferent to the threshold (for defining positive or negative)?
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0answers
23 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 ...
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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 ...
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0answers
46 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 ...
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1answer
28 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 ...
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1answer
97 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
149 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 ...
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1answer
698 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 ...
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0answers
52 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 ...
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0answers
57 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 ...
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0answers
551 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 ...