# Linked Questions

0answers
137 views

### Why isn't accuracy of binary classification model improving? [duplicate]

I have a data set with a binary response variable, about 30,000 observations of 8 features, some are continuous and some are categorical. This is an imbalanced data set, the ratio of negatives to ...
0answers
87 views

### When to give up CNN? [duplicate]

i'm implementing my first CNN for image classification in a field with very few research. I'm aware i could extract feature and then try SVM, knn... But i want to be sure CNN is not a viable ...
1answer
73 views

### How to prove that special data is useless for given problem? [duplicate]

I have a dataset of sensor values and machine breakdowns. Based on the sensor values I try to build an early recognition of upcoming breakdowns (classic predictive maintenance task). I've been ...
0answers
63 views

### Accuracy of RNN getting stuck after 90% [duplicate]

I am using Keras RNN Cell to perform parts of speech tagging. The architecture is as follows(I cannot put the code because of privacy reasons) : An embedding layer of of 40 units of shape (...
1answer
42 views

### When to admit that your target cannot be predicted? [duplicate]

Assume you have a dataset, say churn. You sit down, do the data cleaning, the data engineering etc. etc. Since you want to predict if a customer churns, you decide on a logistic regression as a ...
0answers
29 views

### Why my machine learning's prediction appears to be random guesses? [duplicate]

I'm doing a classification exercise to predict churn using random forest. My current metrics are: Yes - Precision: 0.68 Recall: 0.61 No - Precision: 0.86 Recall: 0.9 However, whenever I try to ...
0answers
28 views

### Acceptable Accuracy, Precision, Sensitivity, and Specificity Thresholds [duplicate]

Are there general rule of thumbs for acceptable accuracy, precision, sensitivity, and specificity values/thresholds in classification? I would imagine that this depends on different applications. I ...
0answers
26 views

### Improving accuracy in time series forecasting [duplicate]

I am trying to forecast a very typical sales data. I have tried Arima, ETS, Holtwinters and even neural networks but I can't get a model with more than 40% accuracy [Absolute sum of(forecast-Actual)/...
0answers
22 views

### Small sample size with very skewed right response [duplicate]

I have a dataset of 300 observations with 7 predictor variables with 1 continuous response variable. The response is strongly skewed to the right and there are no significant correlations among any ...
0answers
16 views

### Lack of accuracy for sales forecasting [duplicate]

I'm an intern in a company that sells about 900 products. We are trying to forecast our sales for the next year. I already have the monthly data for the 3 previous years, cleaned it, and analysed ...
0answers
16 views

### How to Improve the accuracy of my Cancer Prediction Model? [duplicate]

I'm building a logistic regression model to predict if a patient has cancer based on 9 features. Having built learning curves and increasing my regularization parameter to reduce over fitting, which ...
0answers
14 views

### Lack of accuracy for my open market price forecasting [duplicate]

I'm trying to solve a problem to train my skill. I've daily data (each day during 10 years,2010 to 2020, except saturday and sunday). I would like to predict like ten day after my data end. Problem ...
7answers
7k views

### Industry vs Kaggle challenges. Is collecting more observations and having access to more variables more important than fancy modelling?

I'd hope the title is self explanatory. In Kaggle, most winners use stacking with sometimes hundreds of base models, to squeeze a few extra % of MSE, accuracy... In general, in your experience, how ...
3answers
6k views

### Is my model any good, based on the diagnostic metric ($R^2$/ AUC/ accuracy/ RMSE etc.) value?

I've fitted my model and am trying to understand whether it's any good. I've calculated the recommended metrics to assess it ($R^2$/ AUC / accuracy / prediction error / etc) but do not know how to ...
2answers
7k views

### What is the acceptable level of accuracy while doing Weekly Time Series Forecast

I'm doing a weekly time series analysis and I'm generally getting a mape of 35% is that ok according to the industry standard?

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