Questions tagged [performance]

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Performant alternatives to Matrix package in R that requires minimal effort by end users to install

Background I'm going to be releasing a package for R that does calculations involving extremely large sparse matrices (1,000,000 x 1,000,000 is the minimum for what we consider useful). For this ...
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1answer
18 views

How can i test the performance of a model when the test data contains seen and unseen data

To test the performance of my model based on some selected features, i try to use unseen and seen data. However, when choosing the accuracy based on all data, the model is almost overfitting since ...
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1answer
16 views

Reordering feature and its impact

How does reordering the features impact model training and its performance? Per my understanding, it should not impact the model performance as weights get tuned according to feature value and not ...
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7 views

For a multiclass classification problem, how do we find the cohen kappa score?

So I have a multiclass classification problem and I have found the Matthews Correlation Coefficient of that (https://scikit-learn.org/stable/modules/model_evaluation.html#matthews-correlation-...
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1answer
35 views

Normalized metric for comparing regression models performance

I was recently trying to explain to someone whether performance of my estimation approach is good or bad. For instance, whether a model with Mean Absolute Error (MAE) of 17000 is a bad solution. It ...
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13 views

Changing the performance metric used to optimize with random-forest

I'm looking to change the performance metric used to optimize the training for my data set because it is highly unbalance. Because it's highly unbalanced, I don't feel like accuracy is the appropriate ...
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1answer
36 views

why does performance of machine learning models plateau after certain amount of training data

I'm referring to the below image which I came across. The explanation seemed intuitive at first but I don't think I understand how it works. The image says that the performance of traditional machine ...
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28 views

How to evaluate reinforcement learning model?

I am relatively new to reinforcement learning and have been experiencing with a reinforcement learning model to make decisions based on human activities (dynamic environment). Appreciate if someone ...
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1answer
108 views

GPU performance is about 50% slower than benchmarks

Running this benchmark I get 50% slower performance than the author on practically all deep learning sub problems (SINGLE precision and on TRAINING only): I tested this on a GeForce 1080 GTX Ti and ...
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1answer
12 views

Difference Between Performance Scores

I need some help to understand the meaning between these different scores. Currently, I am doing the classification problems using machine learning, and I have obtained the results for the ...
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1answer
43 views

Accuracy improving but, val_acc oscillating in ConvNet. What does it mean?

In my ConvNet model, i'm trying to classify some images. It is malware images and it doesn't contain complex features (i think), as expected model learn to classify images easily. You can see my ...
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20 views

Model Performance using Precision as evaluation metric

I am dealing with an imbalanced class with the following distribution : (Total dataset size : 10763 X 20) 0 : 91% 1 : 9% To build model on this dataset having class imbalance, I have compared ...
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51 views

How can I calculate perplexity for a bigram model?

I didn't find any function in nltk to calculate the perplexity. There are some codes I found: ...
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31 views

Cross-validation and out-of-bag bootstrap applications

I have a question regarding steps on which a specific resample method should be used in general. As far as I know: out-of-bag bootstrap is the resample method with replacement, which has lower ...
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1answer
71 views

CNN computing time on good CPU vs cheap GPU

I am a researcher working on my first deep learning project, which consists of using a CNN (pre-trained VGG16+2 densely connected layers) to classify drone imagery of vegetation. In trying to hack ...
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0answers
62 views

How to choose best model checkpoint when training deep learning model on all the data?

When training a final model for production, it's often recommended to train on all available data (train + dev + test), as discussed here. I'm training a deep learning model. I typically save and use ...
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1answer
30 views

How reliable are model performance reportings?

I had a conceptual doubt about estimating and reporting a classification model's performance. Say my model works with range of depth values and gives out different readings of test errors. We choose ...
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1answer
797 views

AUC ROC in keras is different when using tensorflow or scikit functions.

Two solutions for using AUC-ROC to train keras models, proposed here worked for me. But using tensorflow or scikit rocauc functions I get different results. ...
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4answers
120 views

Neural Network unseen data performance

I started dabbling in neural networks quite recently and encountered a situation which is quite strange (at least with my limited knowledge). The problem I'm using a NN is a regression problem which ...
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250 views

Metrics to determine K in K-cross fold validation

Consider a scenario where the dataset in hand is quite large, let's assume 50000 samples (quite well balanced between two classes). What metrics can be used to decide the K value in a K-fold cross-...
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79 views

How can I perform backpropagation directly in matrix form?

I had made a neural network library a few months ago, and I wasn't too familiar with matrices. So, instead of performing matrix dot products (between weights and inputs, then adding a bias matrix), I ...
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4answers
151 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 ...
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59 views

Time-series clustering Quality Measures

I am clustering time-series datasets which are not labeled (No Ground truth) and I want to measure the quality of the clusters. Could you please suggest any Clustering performance evaluation methods ...
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1answer
48 views

“Each agent was evaluated every 250,000 training frames for 135,000 validation frames” What does this sentences stands for? in DQN nature paper?

In nature paper of DQN by DeepMind, DQN is compared to linear function but they does not said what is this linear function? They compared with some linear functions? 0- What is the meaning of this ...
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1answer
66 views

How to decide optimal threshold for my classification model from FPR, TPR and threshold

I am building my model in Python to classify customer in buyer/ non-buyer category. I used mutiple agorithms for this problem and then after evaluation selecting the best out of all. sklearn package ...
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1answer
126 views

bad regression performance on imbalanced dataset

My current dataset has a shape of 5300 rows by 160 columns with a numeric target variable range=[641, 3001]. That’s no big dataset, but should in general be enough for decent regression quality. The ...
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1answer
34 views

Confidence of this particual prediction

I am looking for a confidence of model to predict well in a given situation. So I have a model $f$ (generic, let's exemplify with a regression model of explicit form for brevity). It well fits on the ...
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1answer
55 views

Regression model performance with noisy dependent variable

I'm doing a support vector regression with the dependent variable representing measurements from an uncalibrated sensor (measurement error between 2% and 20%) and I want to study the effect of this ...
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1answer
161 views

how to improve searching index in dataframe

Given a pandas dataframe with a timestamp index, sorted. I have a label and I need to find the closest index to that label. Also, I need to find a smaller timestamp, so the search should be computed ...
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1answer
123 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 ...
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3answers
30 views

classification performance metric for high risk medical decisions

What is the best classification performance metric for risky medical treatments like surgery? for example a patient should NOT suggest a surgery (negative) if he/she can be treated by medicine (...
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0answers
105 views

Performance Evaluation Metrics used in Training, Validation and Testing [closed]

Which specific performance evaluation metrics are used in training, validation and testing and why? I am thinking error metrics (RMSE, MAE, MSE) are used in validation, and testing should use a wide ...
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164 views

What makes you confident in your results? At what point do you think you can present your work to tech illiterate superiors?

I understand that the models are only as good as the data you get, and bad design can generate really bad data. Nonrandom sampling, unbalanced/incomplete designs, confounding, can make data analysis ...
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1answer
849 views

Interpreting confusion matrix and validation results in convolutional networks

I need some help in the assessment of the training results of a convolutional neural network. Here is my setup: Architecture: InceptionV3 Pre-trained InceptionV3 with weights from image net ...
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669 views

Transfer learning: Poor performance with last layer replaced

I am using a transfer learning approach. For this I followed the tensorflow for poets tutorial. I use a pre-trained InceptionV3 architecture trained on the Imagenet dataset. The last layer and the ...
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1answer
2k views

Improve Precision of a binary classifier - Decision Tree in Python

Currently, I am working on a project. The dataset is balanced roughly in the ratio of 50:50. I created a decision tree classifier. I am achieving decent accuracy (~75%) on validation data but the ...
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239 views

External GPU vs. internal GPU for machine learning

What are the pros/cons of using external GPUs (e.g., connected through thunderbolt) vs. internal GPUs for machine learning?
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0answers
174 views

How much text is enough to train a good embedding model?

I need to train a word2vec embedding model on Wikipedia articles using gensim. Eventually, I will use the entire Wikipedia for that but for the moment, I'm doing some experimentation/optimization to ...
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0answers
76 views

Performance Metric for topic extraction when there is no ground truth

I am extracting topics from text using a predefined ontology containing 2690 concepts, wordnet(to expand concept terms with their synsets, and other morphological forms of the same word) and lucene to ...
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26 views

How to measure the performance of a deep learning model in parasite detection?

I’m working with segmented cells from thin blood smear images and using deep learning models to classify parasitic and uninfected cells. I obtained the following values: Accuracy: 0.986, AUC: 0.99, ...
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1answer
912 views

how should I measure performance if there is no test data?

I have 'practice' data set which I can split into training, validation, and test set and I will play with data to make a machine learning model. But in real situation, I will be given a very small ...
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1answer
43 views

How to select a model based on statistical analyses?

I've been statistically validating the performance of different Deep Learning models in classifying parasitized and normal cells. In the process, I could find that there is no statistically ...
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2answers
9k views

Improve Pandas dataframe filtering speed

I have a dataset with 19 columns and about 250k rows. I have worked with bigger datasets, but this time, Pandas decided to play with my nerves. I tried to split the original dataset into 3 sub-...
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1answer
467 views

Why use the .idx data format?

The MNIST handwritten digit dataset uses a file format .idx. What are the advantages of this file format over alternatives such as CSV, TSX and ODS?
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1answer
31 views

How to evaluate the performance based on rate data

I have the following data: Goal Achieved 100 90 150 130 200 175 ... The first column "Goal" is the number which should be done that ...
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2answers
125 views

How do I compare traditional classifiers performance with my proposed method?

I want to compare my proposed method with traditional machine learning classifiers like Multilayer Perceptron(MLP) and SVM to check the classification accuracy.How do I compare different classifiers?. ...
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1answer
457 views

How to compare performance of Cosine Similarity and Manhatten Distance?

I'm doing clustering of documents by applying k-Means on the word-vectors. To measure the cluster quality, I calculate David Bouldin Index for different k's. I tried two different distance measures, ...
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1answer
2k 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....
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2answers
75 views

ML models: average of all versus average of averages?

I have data for 20 different people and am training a model (e.g. a neural network with the same hyperparameters) on the data from each person; so this gives me 20 models. I chose to use RMSE to ...
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1answer
120 views

Estimating Titan X graphics card impact on performance

I'm currently training CNNs using Tensorflow (Python) on my GTX 970 (specs here). I recently took a look at the new pascal based Titan Xs and I'm wondering what an estimated performance/speed gain ...