Questions tagged [machine-learning]

Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

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Building a model to predict how likely someone is to answer the phone based on past call history and demographics?

Imagine you have a list of everyone in your network. You want to know how likely they are to answer the phone. There are several people in your network that you have called multiple times (some of ...
I Know Nothing's user avatar
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1 answer
146 views

How do machine learning models (e.g. neural networks) get better over time from new data?

I'm a complete newbie to the world of machine learning, and I'm currently working on implementing a model that will need to incorporate feedback, as well as changes to the data set (both feature & ...
Clint's user avatar
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1 answer
123 views

Alert generation on unseen data using deep learning

I am new in neural network and deep learning, trying to create a deep learning model to classify images. While reading blogs and videos, a question comes in my mind and not able to find the correct ...
Nilesh Shaikh's user avatar
-1 votes
3 answers
88 views

Assigning a value to Y for regression

I'm creating a system to evaluate a risk level that grows as it approaches in time to the crisis event. This risk level ranges from 0 to 100, it's a self made index, totally arbitrary. I have a ...
Ernest Montañà Ortiz's user avatar
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2 answers
490 views

How to find categorical features from a vector representation of text?

The context of the question: I have a pandas dataframe where one column has text values and others have categorical values. I trained a word2vec model with ...
Niyamat Ullah's user avatar
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1 answer
527 views

Error in y.predict.trend + y.predict.complement : non-conformable arrays

I was using Dicekrigging in order to Bayesian optimization in R. While finding the acquisition function I got the specified error. I got stuck for many hours. Any kind of help is appreciated. <...
Mithun Ghosh's user avatar
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1 answer
313 views

What are the drawbacks of V-measure clustering evaluation method?

What are the drawbacks of V-measure clustering evaluation method? For evaluating what clustering algorithms, is the V-measure evaluation method suitable?
Shanika Ediriweera's user avatar
-1 votes
1 answer
123 views

Extracting paragraph from a document based on Numerals

I am new to the Data Science. The problem I want to solve is relatively simple in terms of the problem statement. Given a Numbered document (usually a pdf) with/without an index, I need to extract ...
bragboy's user avatar
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1 answer
266 views

Cross-Validation model selection

I have done 10-Fold CV on my data and I have selected my model complexity from the result. Now for my best complexity, I will be having 10 different models. Should I take the average of these models ...
KAY_YAK's user avatar
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1 answer
110 views

Is it ok to use a dataset from public API for Final Year Project?

I am about to start a final year at my university and I want to do a Final Year Project based on Machine Learning. I would like to learn basics of Machine Learning by utilising sci-kit. My project ...
pavelexpertov's user avatar
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1 answer
114 views

Would one-hot classification allow me to generate error bars of results?

I'm currently using a regression ANN to determine the size of an object, in the range [1,100]. I get the output values (sometimes outside of the desired range), but I have no idea how confident the ...
jlt199's user avatar
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1 answer
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Text standardisation for manually entered data

I am working on a project that involves dealing with manually entered text data. I have a dataset of customs records where the customs officers manually enter the name and address of companies ...
Ayman Boustati's user avatar
-1 votes
1 answer
238 views

Data not consistent [closed]

I have data set of client profile and mutual funds , now the problem is there is huge numbers of different mutual funds available and based on history I can see for certain type of client profile more ...
Subrat Srivastwa's user avatar
-1 votes
1 answer
1k views

Parameter estimation for a model with multiple input parameters

So I've this model that simulates an ecosystem and outputs its attributes, like its chemistry, temperature etc. There are lots of input parameters to the model. My job is to write a program to figure ...
Alex's user avatar
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1 answer
70 views

Filter out periodic data

I have N (movement detection) sensors. (N is determined. Usually five.) All sensors are connected to one wireless AP (access point/network router). Each sensor sends two types of data to the ...
minkyung's user avatar
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1 answer
511 views

Building a text extractor to extract particular type of text from unstructured text data

I have a lot of data and manually extracted annotations for the text. I was looking for any advice to automate the annotation extraction up to a good level of accuracy. Any advice is welcome.
Vivek Khetan's user avatar
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1 answer
153 views

Multi-class Classification Task with Input space size n x 1

I am trying to create a model that predicts / classifies the response variable with an input space of size n x 1, which is essentially a single feature. To be more ...
HOON's user avatar
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1 answer
130 views

Do I need equal number of bins for all attributes?

I want to change 8 attributes which are numeric into nominal. I used equal width binning to specify intervals. Does the bin for each attribute need to be equal? For example, when I discretize ...
Khin Nyein Nyein Win San's user avatar
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1 answer
1k views

Sales prediction with neural networks

How is a time series like the Rossmann Kaggle competition used to forecast sales? The simplest solution I saw is a random forest. There the data for every time point is used to feed the random ...
Tido's user avatar
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1 answer
97 views

What does "likelihood" mean in the image?

It is about insurance fraud. The image 1 shows the result of analysis with likelihood of claim referral, which is the target variable, from the previous analysis, image 2, on historical referral data. ...
user122358's user avatar
-1 votes
2 answers
245 views

Explore Influence of features on titanic dataset

I am currently working with the famous titanic dataset from Kaggle. Now I want to explore the influence on different features on the chance of survival. I use the random fores classifier for an ...
MutenRoshi's user avatar
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1 answer
1k views

Stopwords removal (surprisingly) decreases accuracy of naive bayes model

I'm building a model that predicts the subreddit of a given reddit submission. I have a question regarding pre-processing my text (submissions). The order I followed when pre-processing my text was: ...
nz_21's user avatar
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1 answer
49 views

Clustering individuals with random observations

I'm currently trying to apply clustering algorithm to data on callcenter employee KPIs. My dataset contains daily observations per employee on 3 KPIs. Yet the challenge is that I have a random number ...
YS_stack's user avatar
-1 votes
1 answer
119 views

Is learning process of artificial neural networks natural?

I am starting with machine learning and I am currently trying to understand artificial neural networks. In a multi-layer perceptron one minimizes some cost function (it can e.g. cross-entropy), but I ...
Bociek's user avatar
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1 answer
60 views

Number of outputs exceeds the number of classes in the training set

I have to build a classifier that classifies samples to one of thirteen classes, but the training dataset I have contains only 10 classes (the dataset is not balanced and some classes does not have ...
Mohanad Kaleia's user avatar
-1 votes
1 answer
184 views

Using N columns as N classification or using 1 column with multiple values

When dealing with the Neural Network outputs, I found two different approaches to express the output to Neural Network: Using one column with different value as different classifications: ...
cinqS's user avatar
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1 answer
1k views

How much should I pay attention to the f1 score on this case?

I trained a model with results as below. It is a stacking model with base learners of random forest and gradient boosting. The mega model is a GLM. The dataset is imbalanced in the target class as ...
LUSAQX's user avatar
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1 answer
610 views

Probability of what product will be purchased in repeat orders

I have a problem I need to solve and am looking for assistance in what algorithm to use. I have a online store that I have say 10 products and I have all the order history for every order. What I am ...
llerdal's user avatar
  • 101
-1 votes
1 answer
55 views

How do I create my features

I am working on the prediction of the behaviour of a new well in a map. The data that I have is a map in a form of a grid and its properties (9 of them), and a set of wells with the position of each ...
Yassine 's user avatar
-1 votes
1 answer
63 views

Texts classifications approaches

I have a set of predefined categories(like: cars, girls, etc.) and a set short texts and I need to assign one or several categories to each text. What is the best way to do this? I don't have ...
Brans's user avatar
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1 answer
639 views

Do we Need to Populate the Neutral DataSets for Sentiment analysis?

I'm working with datumbox ml framework for sentiment analysis.Here the git link. I found a sentiment Ml code in code examples of frame work here is the code example link. I want to use same code for ...
Dilip Bobby's user avatar
-1 votes
1 answer
703 views

Using Topic Models in R

I am learning about Probabilistic Topic Models by reading this article by D. Blei, watching this video, and doing this exercise A Gentle Introduction to Topic Modeling in R. After the topics in my ...
val's user avatar
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-1 votes
1 answer
963 views

Reading from log file and train a model for prediction

I have a file (access.log) from apache server which is my dataset. and I want to train a model on what is "Normal" and "Abnormal" in the file, so I manually added to some line a field that takes one ...
interface's user avatar
-1 votes
1 answer
146 views

Beggining in machine learning [closed]

I just want to know which books, courses,videos, links,etc do you recommend me to start in machine learning, neural networks, languajes most commonly used. I want to start from zero, just in the ...
Sredny M Casanova's user avatar
-2 votes
1 answer
67 views

What can possibly go wrong? [closed]

Some machine learning projects produce great results for the client. Some don't, for a variety of reasons. What makes the difference? How can you manage scope, schedule, and costs for a machine ...
chrishmorris's user avatar
-2 votes
2 answers
58 views

Building CNN, Need More Images [closed]

I'm building a custom Convolutional Neural Network for image recognition. I'm running into the issue of only having around 100 images or so to train and test on. From my research and model results, ...
jKraut's user avatar
  • 183
-2 votes
1 answer
878 views

Any Master Thesis Topics related to NoSQL and Machine Learning or Business Intelligence? [closed]

Im currently in the last year, and I want to do a masters thesis on a topic that has NOSQL and Machine Learning or Business Intelligence. In my topic i want for defintely NOSQL, so I want to add a ...
John Newman's user avatar
-2 votes
1 answer
39 views

how to split the original data in training, validation and testing? [closed]

I have the original data but i didn't know how to split the data and how to implement that data into some algorithms. can you guys help me out in this problem. thank you
Vinoth Kumar S's user avatar
-2 votes
1 answer
188 views

Help Interpreting a Active Learning Learning Curve

I am applying a active learning with a SGDClassifier (log loss function) as the base learner on some data and I have the following graphs representing the learning curve of queries vs error rate. The ...
DPascal's user avatar
  • 145
-2 votes
1 answer
369 views

Best ML practice for temporal dependency between features

I am trying to figure out what would be the best way to learn patterns with a data-set that has temporal dependency between its features. Let's say I want to predict whether a patient will suffer ...
Zennie's user avatar
  • 11
-2 votes
1 answer
77 views

what tree generation algorithm is used to create DT, ID3? C4.5, CART? [closed]

By default what tree generation algorithm is used to create decision tree? D3? C4.5, CART?
Ahmad Turani's user avatar
-2 votes
1 answer
87 views

combine two features into one [closed]

In an epidemic disease dataset of 3 months, I have a feature (var dt_died) with the death dates of patients (800 people died out of all 12k unique subjects in this dataset, so obviously only dead ...
DOT's user avatar
  • 103
-2 votes
1 answer
30 views

How to achieve better accuracy of 90+ on a 3 class highly skewed dataset?

I have a 3 class dataset with very high imbalance classes: class 1: 75000 class 2: 27000 class 3: 3000 With simple learning algorithms, accuracy is ...
user3243499's user avatar
-2 votes
1 answer
32 views

ML - Labelling - number of possibilities [closed]

I've started learning ML and stuck with the number of possibilities in labelling. I have a sample which comprises 4 attributes (binary) (from the book Apprentissage artificiel, Antoine Cornéujols) ...
olivier's user avatar
-2 votes
1 answer
33 views

I want to start studying the field of machine translation [closed]

I've studied Japanese language and literature and passed some linguistic courses and now as for my masters, I want to study natural language processing and especially machine translation. so I tried ...
takeshi hatake's user avatar
-2 votes
1 answer
269 views

What are pickle, cPickle, and pickling in keras model?

I want to save full keras model. But in their documentation, they recommended not to use pickle or cPickle to to save a keras model. I am not clear about the two terms. What are they and why use or ...
Learning's user avatar
-2 votes
1 answer
469 views

Training a model to predict duplicate records in machine learning

I have the adjustment data in telecom domain: There are problems that sometimes the automation script generates the bill twice which causes duplicate records. I want to know how to prepare the data ...
vinaykva's user avatar
  • 283
-2 votes
1 answer
4k views

What is PCA and MICE

I am doing an experiment on Azure ML. While pre processing my data, there is an option to clean missing data using either PCA or MICE. Please provide me an example of how I can decide on which option ...
sara's user avatar
  • 481
-2 votes
0 answers
13 views

Where to begin with Machine learning deployment?

I have created a machine learning model which uses one hot encoding. I'm confused where to begin with as the data was categorical when it was trained and I have never used Django or flask before. Need ...
Captain_poop's user avatar
-2 votes
1 answer
35 views

Model Architecture Design

I have two different model architectures, I am just curious if one would be better then the other. I have tested both and they vary in performance each time I train them, but the second model ...
machine_apprentice's user avatar