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Questions tagged [supervised-learning]

Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.

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how to use xlsx files as dataset into scikit-learn for supervised learning

I am having 2 xlsx files and I want to use that as datasets in sklearn classifier for implementing different machine learning algorithms. I'm a newbie please help.
bhavya
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Supervised Machine Learning for .Net

I have a problem whereby our users receive the balance of an account each day, and based on the balance, perform an action. Given the list of historical balances and resulting actions, is it possible to use machine learning to predict the future…
arrkaye
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Summarization Algo for novels : Supervised learning

I want to write a Learning Algo which can automatically create summary of articles . e.g, there are some fiction novels(one category considering it as a filter) in PDF format. I want to make an automated process of creating its summary. We can…
Rahul Saxena
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How to make the non-separable data to become separable?

Away from the common datasets of Iris or wine, let's say we have dataset of 3 classes and this data is non-separable. How by any way to increase its percentage of correct classification samples...for example from 50% to 80 or 90%?
mhdella
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How to fit a classifier with high accuracy on the training set with low features?

I have input (r,c) in range (0, 1] as the coordinate of a pixel of an image and its color 1 or 2 only. I have about 6,400 pixels. My attempt of fitting X=(r,c) and y=color was a failure the accuracy won't go higher than 70%. Here's the image: The…
off99555
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Given a feature vector, how to find whether my data points are linearly separable

I have a feature vector in matrix notation, and I have data points in 2D plane. How to find whether my data points are linearly separable with that feature vector? One can check whether there exists a line divides the data points into two. If there…
John Smith
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Compare the efficient between neural network and bayesian network

Like the title, could anyone tell me the ANN and the Bayesian which is better in classify or detection and recognition issue ? In radar tracking system, the target have speed, orientation, height,... which can be apply ? In image processing system,…
PhiVH
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Design a Data Model to predict value of sum of Function

I am working on a data mining projects and I have to design following model. I have given 4 feature x1, x2, x3 and x4 and four function defined on these feature such that each function depend upon some subset of available feature. e.g. F1(x1, x2)…
Ish Yadav
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Machine Learning - Classifier Evaluation

In general what are the steps you follow when the accuracy of a supervised learning classifier model that you have obtained after training is not as per your expectation? Example Steps: Feature Re-Engineering, Removing Noise, Dimensionality…
Yavar
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Overfitting in data frame that some rows repeated

I have a machine learning problem in a logistic regression algorithm. That I have a data frame where some rows and features are repeated like the below table: feature 1 feature 2 feature 3 ... feature n-1 feature…
Poorya Alishah Kamandi
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How to predict a class from an array?

I have the following data science problem: I have a set of arrays. An array represents a month consumption of lighting, heating or ventilation in which each line represents a consumption for one hour. So for each month in a year, I have 3 arrays.…
Juan
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When should I do feature scaling or normalisation in machine learning?

I have a training feature set consisting of 92 features. Out of which 91 features are boolean values of 1 or 0. But 1 feature is numerical and it varies from 3-2000. Will it be better if I do feature scaling on my 92nd feature? If yes, what are the…
Ayush Agrawal
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Categorize customer questions based on content

I’m working on web app where users can ask questions. These questions should be categorized by some criteria based on question content, title, user data, region and so on. Next these questions should be processed in so way: for some additional…
Varman
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clustering VS supervised classification, in the case of very small database

I'm trying to classify/cluster subjects according to 4 features in two classes: healthy and sick. Two things to know: I know the labels/classes of each subject + I only have 40 subjects (in total: training + testing set!) What should I choose in…
learners
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Dataset for predicting gender

Can anyone guide me towards any dataset which consists of questions/survey based on psychology which when answered in full extent can tell you the gender if the person taking the test? I need it to create a tool through which we can detect the…
Ether Shasha
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