Questions tagged [performance]

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91
votes
12answers
15k views

How big is big data?

Lots of people use the term big data in a rather commercial way, as a means of indicating that large datasets are involved in the computation, and therefore potential solutions must have good ...
8
votes
1answer
864 views

What is the best performance metric used in balancing dataset using SMOTE technique

I used smote technique to oversample my dataset and now I have a balanced dataset. The problem I faced is that the performance metrics; precision, recall, f1 measure, accuracy in the imbalanced ...
1
vote
2answers
1k views

Benchmarks based on neural networks libraries to compare the performance between different GPUs

I am looking for benchmarks based on neural networks libraries (Theano/TensorFlow/Torch/Caffe/…) to compare the performance between different GPUs. I am aware of: https://github.com/jcjohnson/cnn-...
3
votes
1answer
172 views

Understanding ROCs in imbalanced data-sets

A response variable (label) $B$ can either be $0$ or $1$. In the training set, $B_i = 1$ is an extremely rare event at only $0.26\%$ occurrences. Which makes the prediction of this label on a test ...
3
votes
1answer
349 views

Online/incremental unsupervised dimensionality reduction for use with classification for event prediction

Consider the application: We have a set of users and items. Users can perform different action types (think browsing, clicking, upvoting etc.) on different items. Users and items accumulate a "...
7
votes
4answers
2k views

Log loss vs accuracy for deciding between different learning rates?

While model tuning using cross validation and grid search I was plotting the graph of different learning rate against log loss and accuracy separately. Log loss When I used log loss as score in ...
3
votes
2answers
46 views

Does Sampling size matters in Multi classification Model

I am working on a multi class classification model where few of the class are with less data compare to other classes. I used random sampling technique to create a sample from the population keeping ...
3
votes
1answer
3k views

Performance issues when merging two dataframe columns into one on millions rows with Pandas

I am trying to merge two address columns into one and separate the resulting string with '--'. The dataset has 10 million rows and 33 columns - but the number of rows grows for a million or so a month....