Linked Questions

0
votes
0answers
77 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 ...
0
votes
0answers
26 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 ...
0
votes
0answers
22 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 (...
0
votes
0answers
15 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 ...
0
votes
0answers
14 views

Short string classification, high acc tons of false positives. ¿Are we on the right path? [duplicate]

TL;DR AT THE END Suggested to ask here from https://stackoverflow.com/questions/56038093/short-string-classification-high-acc-tons-of-false-positives-are-we-on-the-ri (same question but on ...
0
votes
0answers
13 views

Unsatisfactory prediction error - is it possible to improve accurancy? [duplicate]

I'm green in ML field and I try to classify user reports to valid/invalid. My dataset contains of Valid - 7355 samples Invalid - 6285 samples So, I devide data into train and test ...
54
votes
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 ...
9
votes
3answers
2k views

Expected best performance possible on a data set

Say I have a simple machine learning problem like a classification. With some benchmarks in vision or audio recognition, I, as a human, are a very good classifier. I therefore have an intuition on how ...
1
vote
2answers
4k 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?
11
votes
1answer
648 views

When have I to stop looking for a model?

I'm looking for a model between stockprices of energy and the weather. I have the price of the MWatt bought between the countries of Europe, and a lot of values on the weather (Grib files). Each hours ...
-1
votes
1answer
2k views

How does Bayes' theorem work with independent events? [closed]

I understand conditional probability whereby I can use known or unknown variables. In terms of the variables from this question, for instance, I can safely get the favourable probability by using the ...
3
votes
3answers
366 views

Can a Random Forest Make any Improvements in a Very (perhaps overly) Simple Model?

I have a target which can take on 3 classes. For the features I have only 2, a count variable and a continuous. Right now, it is just a simple Decision Tree model, I did not boostrap/aggregate ...
1
vote
3answers
100 views

Statistically prove classification accuracy is acceptable

I made a neural network to do binary classification with medical images. Since I evaluate test accuracy (x% accurate), is there any statistical method which can be ...
5
votes
3answers
209 views

Forecasting hourly time series [closed]

I have the following time series: Data is aviable here data The time series represent an hourly eletricity load. It starts at 2018-09-13 19:00:00 and end at 2018-12-23 15:00:00. I want to predict ...
1
vote
1answer
484 views

time series forecasting in R for a period less than 2 years(18 months) which is totally random

I'm working on a project of forecasting. I have the count of the purchase order for an 18 months period of time. I'm attempting to create a forecast from time series data that has observations only on ...

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