Questions tagged [prediction]

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4
votes
2answers
3k views

Encode multi-class response variable

In a classification problem when the response variable has multi-class, e.g., "sunny","rainy","cloudy", how should we encode it? I know that for predictors like this, usually we do One Hot Encoding, ...
12
votes
1answer
13k views

How to Predict the future values of time horizon with Keras?

I just built this LSTM neural network with Keras ...
5
votes
2answers
1k views

Is There a Way to Re-Calibrate Predicted Probabilities After Using Class Weights?

I have classification data with far more negative instances than positive instances. I have used class weights in my models and have achieved the discrimination I want but the predicted probabilities ...
81
votes
5answers
53k views

Time series prediction using ARIMA vs LSTM

The problem that I am dealing with is predicting time series values. I am looking at one time series at a time and based on for example 15% of the input data, I would like to predict its future values....
17
votes
4answers
13k views

Prediction interval around LSTM time series forecast

Is there a method to calculate the prediction interval (probability distribution) around a time series forecast from an LSTM (or other recurrent) neural network? Say, for example, I am predicting 10 ...
5
votes
2answers
9k views

Prediction Intervals Using XGBoost

I want to obtain the prediction intervals of my xgboost model which I am using to solve a regression problem. I am using the python code shared on this blog, and not really understanding how the ...
3
votes
1answer
2k views

Estimating Predictive Uncertainty for unlabeled data

I am trying to estimate the predictive uncertainty for a deep neural network. While I do have a labeled training set, I´m trying to measure uncertainty for some unlabeled production data. This paper ...
2
votes
1answer
254 views

How to add previous predictions for new predictions in LSTM?

I am trying to train a model on a big data sequence like this [0.2 0.1 0.1 ..... 0.4 0.8] . I create X vectors with length 60 for inputs and Y scaler numbers as ...
2
votes
1answer
9k views

Accuracy for Kmeans clustering

I am looking for accuracy python code for kmeans clustering with no labels. Is there anyone who knows about it? it is ok that is not built-in function. Manually made is also ok
2
votes
2answers
3k views

Prediction after one hot encoding

I have a regression model that I want to make prediction based on values that I will get from an end user. In my dataset, I have one categorical variable region ...
0
votes
2answers
77 views

Validate via predict() or via fit()?

There are several possibilites to evaluate a model: hist = model.fit(x_train, y_train, (...) validation_data=(x_test, y_test)) or to use <...
0
votes
2answers
69 views

Predicting the likelihood that a prediction from a linear regression model is accurate

So to set up the problem: I have a data set that had labeled data like colour, brand and quality as independent variables and the dependent is RRP (price). I have made a linear regression model using ...