Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a ...

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26 views

What kind of data types are best to work with prediction algorithms of R

Assuming the data is tidy and it has a mix of columns of type numeric, character and Factor. What is the data type that would give best results when using different prediction techniques in R? I am ...
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15 views

classify objects into binned categories

I need to generate a model which is able to classify objects into binned categories. These categories are related to each other as they are bins of a continuous variable. Let's say predicted value ...
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7 views

Website classification using metadata features

I want to fit a model that predicts a website type according to metadata features that I manually collected, such as - Average text length, average # of pics, average outgoing links per page, etc... ...
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11 views

Which is the dependent variable in the UCI Liver dataset?

https://archive.ics.uci.edu/ml/datasets/Liver+Disorders lists some papers which have used this dataset. I went to one, Turney, and it says: The target concept was defined using the sixth column: ...
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12 views

Classify inventory part names into cost categories

I'm wondering if it's possible to do, and if so, how would I do it? I would like to create a model that could classify part names (inventory part names) to cost categories ('under \$1', '\$1 to 9.99', ...
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39 views

How to compute classification accuracy of PCA?

How to check classification accuracy for principal component analysis (PCA)? In order to compare it with different methods, for example with random forest classification, how can I compute accuracy? ...
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2answers
31 views

what is the difference between area under roc and weighted area under roc?

Thanks in advance for the help. I have an unbalanced dataset that I am using for a binary classification problem. The classes are unbalanced. I believe that in such a case that weighted area under ...
2
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1answer
42 views

Model to predict Residuals of another model

I am using a random forest for a 2 class classification problem. But eventually using probability of class "1" returned by the model for my task and not the label. I get AUC of about 70% Then I ...
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0answers
10 views

Predicting probabilities classification functions [closed]

I want to get the probabilities for classification problems in R. If I use predict(...,type="response",...) in Logit or Probit I receive the probabilities for the ...
2
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2answers
21 views

Data set for document topic discovery

I have a bunch of documents and would like to to assign one (or more) topics to each document. The topics can be quite wide ranging from political topics to sports, etc. I think the best way is to ...
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0answers
4 views

How to return multiple objects of a library in R? [migrated]

I'm using rpart library in R. In a function, I want to return an array of rpart objects which are generated in a for loop. However, I don't know which data structure I should use for storing rpart ...
9
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1answer
74 views

When should I not use an ensemble classifier?

In general, in a classification problem where the goal is to accurately predict out-of-sample class membership, when should I not to use an ensemble classifier? This question is closely related to ...
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1 view

MCCV + Bootstrap with R?

I have a matrix of 111 observations and 1196 numeric variables. Observations consist in Diabetic / NON Diabetic persons. I want to apply Random forest or SVM as classifiers, but before I need to know ...
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0answers
11 views

What method(s) exist(s) for the classification and reliability (Cohen's kappa) analysis of partial data?

I'm trying to set up a study in which I have many (about 700) images to classify. I need to measure expert judgements on this data set. Based on literature on the same subject, I am setting up a study ...
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2answers
32 views

How well should features discriminate to build a good classifier from them?

For my (binary) classification problem I'm developing several features and tune them with ROC curves. At some point, I want to combine them with in classifier. How well should the features perform, ...
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0answers
17 views

How to calculate F-measure with only Positive Data

I'm new in statistics and I have a question about finding f-measure once we do not have any "negative" data. I have a list of items with confidence score (between 0 and 1) calculated for each item: ...
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0answers
20 views

Automatically generate new features [closed]

The problem statement is the following: I have a set of let's say $n$ features, named $f_1, f_2, \dots, f_n$. The problem is that maybe the "raw" features (not modified) do not help in reaching our ...
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0answers
9 views

multiclass classification in python [closed]

i have a data which is to be classified in to 35 classes.I have the tf-idf matrix of the data which is to be classified and also the same vector matrix of the labelled trained data. Please suggest me ...
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2answers
64 views

Is it right to consider the output of the neural network as its confidence in predicting the output?

Suppose I have a single output sigmoid (tanh) that is producing an output ranging [-1, +1]. Is it right to consider this output as its confidence measue of predicting the output. The output value ...
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2answers
49 views

How do I use Lasso and elastic net as feature selectors?

I have a data set with 900,000 rows and 8 features. I want to look at the significance of each feature so that I can evaluate whether the features I add are viable or not. One method I am using after ...
1
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1answer
27 views

How can I do a one vs all classification (binary classifier) with a neural network

I have a set of images that belong to a particular class. Then, I have another set of images that do not contain any image of the above particular class. So, effectively I have two sets of images ...
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0answers
8 views

Suitable classifier for 'objects on a string' data [on hold]

I don't know if this can be considered a subjective question, but I have no option but to ask someone. My problem: I have a series of strings (or lines, think metal strings, not text strings) on ...
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1answer
24 views

How do I improve the accuracy of my supervised document classification model? [on hold]

Given 1000 legal judgement documents, 900 of which are labeled, my task is to predict the label for the remaining 100 documents. The labeled documents belong to 41 different categories of Law, with ...
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0answers
10 views

Choosing keypoints for a training set and their prospective number

I am building a software to classify cells from images taken by a microscope. I have a dataset of images of cells to use as training dataset - I have extracted Keypoints from each image using ORB - ...
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0answers
11 views

How can I train HMM for continuous sign language recognition?

Currently I can recognize isolated words using HMM (Hidden Markov Model) through training an HMM model for each sign, and for a new word I take the sign for the model giving the highest likelihood. ...
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2answers
28 views

Categorical Predictors and categorical responses

I have a dataset consisting of 5 categorical predictors and a categorical response (class). I want to find out which predictor has an effect on the response. Additionally, I can't guarantee whether ...
1
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1answer
54 views

Wilcoxon signed rank test for comparing classifiers

I am interested in comparing Classifier A with Classifier B. I have obtained Micro-Averaged F1 measures for Classifiers A and B that I intend to compare pairwise. I want to find out if Classifier A is ...
2
votes
1answer
47 views

What balancing method can I apply to a imbalanced data set?

I'm trying to solve one classification problem from the UCI database repository. Unfortunately (or fortunately), I've noticed that my dataset is imbalanced. I've structured the data as 5 classes, ...
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0answers
17 views

what possile balancing method can I apply on a imbalanced data set? [duplicate]

Im trying to solve one classification problem from de UCI database repository. https://archive.ics.uci.edu/ml/datasets/Student+Performance Unfortunately (or fortunately) I've noticed that my dataset ...
1
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0answers
12 views

Help me with different formulations for SVM classification

I've been working with kernlab for more than a year now, but I always stickied to the vanilla cost (C-svc) formulation for ...
1
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0answers
9 views

Unbiasing One-vs-all

When you train a one-vs-all multi-class classification, the rule of thumb is that for each class (e.g. class A) mark it as class 0 and others as class 1. Then you split the data as you wish and train ...
0
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1answer
40 views

Did I understand ROC curves correctly?

I want to classify objects by their area into two classes. I implemented several area estimates that I want to compare. For each object, I have a gold standard indicating to which of the two classes ...
0
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0answers
28 views

What is the activation function, label and loss function for Hierachical Softmax [migrated]

Several papers([1],[2], [3]) suggest the use of Hierachical Softmax instead of softmax for classification where the number of classes is large (eg many thousand). I haven't been able to get clear in ...
0
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1answer
50 views

Multiple Correlation towards 2 target values

I am analyzing correlations between the driving speed of several drivers pairwise on the same route and correlations between them. ...
0
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1answer
31 views

Prediction for a large number of discrete numbers other than classification and regression

I am dealing with a problem where the output of my model, can have numbers like 1-3000 (around) (score in a game). This is like a score in a game. Giving a least squared error setting, for a model, ...
1
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2answers
57 views

How to explain KNN in Bayesian probability?

I am wondering how to explain k-nearest neighborhood algorithm from a Bayesian approach, especially on how to justify the best choice of k value?
0
votes
1answer
67 views

How to implement CHAID decision-tree using R for continuous variable

I have 62 variables which includes both continuous variables and binary variables and 1 response variable imported from SAS. How can I perform chaid using R on all the variables? Can R do it on ...
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0answers
6 views

Special Type of Classification without focus on accuracy of one type

Hi I am running into this problem here: I have some features say a, b , c and a binary type indicator X= 0 or 1 (good or bad). Similar as decision tree algorithm, what I wanted is to get ...
0
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0answers
34 views

Supervised clustering/classification in a streaming environment

I am faced with a challenging problem and I was wondering whether someone could point me in the right direction of existing research literature. The problem is the following: Given a stream of data ...
2
votes
1answer
23 views

Get Logistic regressions odds from equation result

By using logistic regression in SPSS I get an equation that looks like this: 0.1535 * X1+ -0.0002973 * X2 + -114.9 * X3 + -114.0 * X4 How do I transform the result of the equation to the odds ...
5
votes
1answer
57 views

Choosing a method to solve a many-to-one mapping problem

Problem description To predict a list of values associated with a set of variables. Trainset Trainset has a set of variables X1, X2, X3, ... Xn. In the simplest form, each variable is of type ...
0
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1answer
23 views

Predict multiple outcome vectors at once (no multinomial or multiclass)

Let's say I have a dataset where i need to predict 2 or more variables (classification). Please understand that i really don't mean multinomial or multiclass classification. It's all about predicting ...
2
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0answers
19 views

Use of a sample to define a criterion and to examine difference with clinical sample

Before I can ask my questions, I have to give a little background information. I'm involved in a study using a measure of nonverbal fluency. Subjects are shown a page full of squares, like the one ...
3
votes
1answer
55 views

How to use decision stump as weak learner in Adaboost?

I want to implement Adaboost using Decision Stump. Is it correct to make as many decision stump as our data set's features in each iteration of Adaboost? For example, if I have a data set with 24 ...
3
votes
1answer
61 views

ROC curve for two-sided cut-off

I am very, very confused about ROC curves. I have a Bayesian model which outputs a prevalence on a continuous scale between 0 and 1. I have a classification I would like to use that classifies that ...
0
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0answers
24 views

The infamous cross device identification and how to go about it

I am trying to work on a cross device user identification problem wherein I have mobile data,that is apps visited and mobile attributes; as well as browser data via cookies, that is websites visited ...
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0answers
11 views

reduced multilabel-dataset performance evaluation

Assume a multilabel problem with given ground truth, where each training instance can have one or more of 3 labels A,B and C, e.g: ...
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0answers
22 views

Nested Cross Validation

I am training a linear classifier using SVM. I used nested cross validation. Inner loop is used to estimate the best C (cost parameter) and out loop uses the best C to train and test the classifier. ...
0
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1answer
23 views

Building an image classifier( binary) using Convolution network network

I have a dataset of images of birds and want to build a CNN classifier that outputs the probability that the fed image(test) is a bird, So that I can accept the image to be a bird beyond a certain ...
0
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0answers
28 views

Supervised classification of remotely sensed data; can one ground truth site be used to classify my dataset

I have used three classification algorithms (Random forests, support vector machine, C5.0) to carry out a supervised classification of remotely sensed data. However, when creating my ground-truth ...