1
vote
0answers
12 views

Derive minimum positive rate of change for co2 data

I have CO2 (in parts per million) data of a closed room. The CO2 data is recorded along with timestamps. Typical difference between two samples is around five minutes. My aim is to find occupancy of ...
2
votes
2answers
38 views

The size of the sample for split validation

At this moment I have a dataset with 4000 samples (50% positive and 50% negative). Normally I would do cross validation for this approach, however besides normal data mining techniques I am also ...
0
votes
1answer
30 views

use of validation set on lasso cross validation

When training a model a train, a validation and test set are used. I was wondering if there is any paper or example that proves that the use of an independent validation set increase the performance ...
3
votes
1answer
106 views

Should my test set be balanced or imbalanced?

I have an imbalanced dataset (90% class 0 10% class 1), should I first split it in training and test set, then balance my training set (my test set would still be imbalanced), or could I randomly ...
-1
votes
1answer
77 views

validating a regression model

I want to build a regression model to predict daily income from customers. I have 2 problems: 1. Choosing data for the training set - do I use daily income from 1 month ago, 6 month ago etc. 2. How do ...
2
votes
3answers
758 views

Back propagation neural network data input advice

I am currently doing a project which involves pothole detection and neural networks. So far, I have an Android phone that reads Accelerometer readings and writes the X,Y,Z Axis aswell as the Amplitude ...
24
votes
2answers
3k views

How to draw valid conclusions from “big data”?

"Big data" is everywhere in the media. Everybody says that "big data" is the big thing for 2012, e.g. KDNuggets poll on hot topics for 2012. However, I have deep concerns here. With big data, ...
4
votes
1answer
1k views

Best practices for measuring and avoiding overfitting?

I am developing automated trading systems for the stock market. The big challenge has been overfitting. Can your recommend some resources describing methods for measuring and avoiding overfitting? I ...
20
votes
4answers
508 views

As a reviewer, can I justify requesting data and code be made available even if the journal does not?

As science must be reproducible, by definition, there is increasing recognition that data and code are an essential component of the reproduciblity, as discussed by the Yale Roundtable for data and ...
3
votes
1answer
210 views

What resources/methods exist for testing/validation or evaluation of Statistical Methods

I'm interested in the process of testing or validating a particular implementation of a statistical method, and what datasets and/or published analysis exist that could be used to do this in practice. ...