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Questions tagged [machine-learning-model]

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1answer
15 views

Corelation between overtime and sick leave

I have a scenario where I have to identify employees, who when take sick or any other paid leave his/her colleague (any other employee) gets overtime. My data set is as follows: ...
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4 views

Dimentionality reduction with suggestion on logically combining features that are better predictors when combined together?

Anyone knows about a code that performs dimentionality reduction with a suggestion on combining features that are better predictors when combined logically together instead of them being combined ...
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2answers
17 views

Can you learn an algorithm from a trained model?

Are there any papers where an algorithm was entirely based on the results of a trained model? Let me explain. Suppose you want to come up with an algorithm that sorts three numbers $a,b,c$. I can ...
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0answers
5 views

Patch Size in Single Imahe Super Resolution

I don't understand what it means the patch size in paper "Enhanced Deep Residual Networks for Single Image Super-Resolution" means the same thing? It used patch size of 96, 144, 192. It seems strange ...
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0answers
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LogesticRegression fit() function is throwing this error

i'm following datacamp pyspark tutorial series and on chapter 04 Model tuning and selection in fitting the model, I'm getting this error when i execute these line ...
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2answers
29 views

Terminology question

In Machine Learning, is the definition of the Model just the algorithm that was selected for the problem domain, or is the Model the algorithm and the training data? Thanks.
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1answer
32 views

LightGBM - Why Exclusive Feature Bundling (EFB)?

I'm currently studying GBDT and started reading LightGBM's research paper: https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf In section 4. they explain ...
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1answer
16 views

Can random forest algorithm provide customer churn prediction probability at each customer instead at class level?

I have customer training data set from telecom industry along with its test data set containing churn values 0 & 1 for each customer. I also have customer data set whose churn value is to be ...
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0answers
23 views

Why to use Ridge or Lasso regression?

As I understand, ElasticNet should always perform better or equal to Lasso or Ridge regressions. So I was wondering why do people still use Ridge & Lasso?
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Feeding machine learning model with different matrix

Well my question is a general question. I tried to find some relevant information before posting my question here, but no success!. I am working on ...
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0answers
22 views

machine learning for Data set of data sets

I know that we apply machine learning in a data set that has features and results this example to show if students cheated in Exam 3 we compare results for Exam 1 and 2 to find if Exam 3 results were ...
1
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1answer
21 views

How to save prediction values for the whole data in Keras

I am using pre-trained VGG16 model to classify images located in the folder. Currently, I am able to classify only one single image. How can I modify the code to classify all the images in the ...
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0answers
24 views

How to extract characteristics from text using machine learning?

I would like to develop some kind of model/algorithm that allows me to extract the characteristics of a given product name. (let's say the brand, model and color). I am looking for a solution similar ...
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0answers
15 views

How to model machine learning problem for cache replacement policy?

I am trying to implement machine learning on Cache Replacement Policy. I want to train a ML model on labelled data acquire from Belady's Optimal Algorithm for Cache replacement policy. For example, ...
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0answers
7 views

How to model channel allocation behavior of the wifi system

I am working on a problem for weeks without progress. Here it is: Inputs are the csv files about activities of many access points (AP), each row has this format [time: mac_address: ...
0
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1answer
26 views

Is the ultimate challenge in ML simply computational power?

I am stuck on a theoretical roadblock in learning about machine learning, because I have not seen this explicitly addressed anywhere. In my studies, it seems as if Cross-validation (or some variant ...
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0answers
9 views

How do I store/model data needed for my recommendation module?

I'm reading data from a store's product catalog, a 100mb xml file which contains product-wise attributes like prices, categories, etc. Given a product_id, my job ...
1
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1answer
10 views

Nested cross-validation generalization error for multiple models

I am referring to this question: Nested cross-validation and selecting the best regression model - is this the right SKLearn process? In the answers it shows that nested cv can estimate the ...
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0answers
8 views

Is neural networks(error based learning) is best for any machine learning task?

Can you mention some supervised/unsupervised/semi supervised tasks which are not good to solve using neural networks.I'm talking about the results which could be best using other techniques.
1
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1answer
23 views

No accuracy in Keras RNN Model with Bitcoin Data

I am very new to machine-learning and have made an RNN-LSTM model with no accuracy. My data has been normalized with MinMaxScaler from Sklearn and has a shape of has an input of shape (3, 2)... My ...
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1answer
28 views

Timeseries of odds in race - how to pick a model

Being new to AI/ML I'd like some pointers to where to begin. I got data from horse races. Specifically, I got the odds for each runner during the race - ca 5 times per second. ...
2
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1answer
26 views

How many Hidden Layers and Neurons should I use in an RNN?

I am very new to neural networks and machine learning and I have been making a Bitcoin price predictor to learn it. I was wondering about the number of hidden layers I'd need in a recurrent neural net ...
1
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1answer
32 views

Combine results from multiple models

I am using chunks of 100000 rows at a time from the CSV file to train the a simple LASSO model. How do i combine all of these models trained from these different chunks? I would like to use all ...
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0answers
13 views

How to use boolean data to build DecisionTreeClassifier?

I was looking for solution on StackExchange, but I didn't find anything which matches my question. I am using this dataset: https://web.archive.org/web/20100704072013/http://lpis.csd.auth.gr/mlkd/...
1
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1answer
29 views

Recommender system for next carrer step

I want to build a recommender system that suggests the next step in your career. About the dataset. About 50'000 Users with following informations: Skills (tags, string value) every job they did (...
0
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1answer
42 views

Why does the votingClassifier in sklearn.ensemble gives higher accuracy than each of the classifiers that make it? and should i depend on it?

I am running an ML classifier on my data. I used SVM, RF and KNN. I used GScv for each of them and then used votingclassifier.The accuracy i got in each classifier independently was low, but from the ...
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1answer
24 views

Do I use actual data or data difference to train machine learning model?

I would like to predict tomorrows temperature :-). But I'm unsure of the best approach. Do I simply drop data from the last x days, or do I try do drop data from the last x days in difference? Last ...
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0answers
14 views

Using machine learning to classify pages on website based on HTML structure

I'm currently working on an audit of a site for a client. One of the problems we've run is that all the articles are in a CMS; but depending on the author, were authored with different methodology. ...
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0answers
17 views

EDA : Model decision making

I am working on this dataset. Completely new to the machine learning. It seems to be a time series data. 1) Can I go for regression or classification modelling for this dataset? The target id in ...
0
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1answer
26 views

How I can interpret the attached tree?

Is the total sample size = 30.891 and the overall percentage of “yes” = 11,3%? How I can describe the leaves predicting "yes" outcome in term of explicative variables and values? What are the ...
0
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1answer
15 views

Décision tree, How to see under/over fitting with just looking at the leafs?

My question is: how with just looking at the leafs of a decision tree could you tell if the model is under/over-fitting? Any sort of advice will be helpful.
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2answers
90 views

Why the VC dimension to this linear hypothesis equal to 3?

I am trying hard to understand this. Here is the scenario: X = R^2 H = { h(x) = x + 10 } I need to calculate the VC dimension for the above linear separator. ...
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6answers
111 views

Is it advisable to combine two dataset?

I have two datasets on heart rate of subjects that were recorded in two different places (two different continent to be exact). The two research experiments aimed to find the subjects' emotions based ...
0
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1answer
32 views

Running multiple random forest and combining them

I am trying to build a random forest model in R (RStudio). My training dataset has around 2 million rows and 38 variables. When I tested 5000 rows from this dataset I was able to build the random ...
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1answer
66 views

Which algorithms are the best choices for my binary classification problem? [closed]

Which algorithms are the best choices for my binary classification problem? I have approximately 200 K samples in the training set and 18 attributes, including binary, numeric and categorical. I ...
1
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1answer
24 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 ...
0
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2answers
120 views

Why to/not to use Dropout on the input layer?

People generally avoid using Dropout at the I/p layer itself... But isn't it better to do it is my main question? My reasoning: Adding dropout (given that it's randomized it will probably end up ...
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0answers
24 views

one predictive methods

Is there any algorithm/method/system/application that combine all predictive methods into one? so for users instead of deciding which method they should use, is there any platform that you just feed ...
0
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1answer
24 views

Which ML algorithm to use if we have categorical data, numeric data, derived data (derived from) other variable in our data set? [closed]

I am a beginner in Data Science. I have a data set which contains numerical data, categorical data and derived data (derived from other columns). The target column (dependent) is binary. Which Machine ...
3
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1answer
28 views

How to chose a Machine Learning algorithm? [closed]

I was wondering, are their any guidelines or any rules of the thumb as to which algorithms perform best for each task? What I'm looking for is something along the lines of: NLP tasks are usually ...
1
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0answers
18 views

Multiple output from a model

i have dataset where input is userId and day and Output is project activity and hour, each day some users are reporting for two projects, two activities and 4 hour each,,and some users only report for ...
2
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1answer
28 views

Algortihm for making predictions from minimal data

I am working with classification problem. I have a dataset with a lot of features. A lot of them can easily determine class. On production, I want to ask the user to provide me with only part of the ...
2
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0answers
36 views

Making inferences from incomplete data

I have data which have complete information. Each record has one class assigned. On production, I won't be able to get so many information from a user, so I want to create a model which will be able ...
2
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1answer
28 views

On Inductive Bias

The first line of section 2.7.3 in Mitchell's Machine Learning is: "A Learner that makes no prior assumptions regarding the identity of the target concept has no rational basis for classifying any ...
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0answers
97 views

How to implement one vs rest classifier in a multiclass classification problem?

I have a dataset which contains 750 data points with 8 classes in the target variable. I tried implementing simple machine learning models and also did hyperparameter tuning but they results were not ...
3
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2answers
42 views

Is there a definitive and more conclusive way of interpreting the R^2 score from a linear regression model in terms of prediction accuracy?

I'm trying to find a definitive way to conclude the R^2 score from a prediction accuracy point of view rather than variance. How should I do it? Conceptually, most blogs / articles explain R^2 as: ...
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2answers
173 views

How Do Machine Learning Models Work and Remember? [closed]

I am new to machine learning. I am confused about how a machine learning model remembers what it learns. And how it learns. I know the basic workflow of machine learning: first is data gathering, ...
3
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2answers
35 views

Dummy variable for Categorical values

The question is in reference to solution of Titanic survival predictionat kaggle . As many have did the similar kind of feature extraction, They have converted some of the numerical features (Age, ...
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0answers
40 views

Time series with multiple attributes and multiple groups

I am working on this dataset UK Traffic Dataset. Here is my sample kernel : my kernel on UK traffic data This dataset consists of several groups and it has date and hour , as it is hourly time ...