Questions tagged [predictive]

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Predictive Search In Array to filter Search Results

I have an array with structure like this : ( { displayFlag = ""; displaySize = 0; name = "Faith Stretch Bracelets-Display Unit"; price = "19.99"; sku = "KARG-ACJE-100001-9999"; status = received; upc =…
Shivam Tripathi
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Are some data sets just not predictive?

Are some types of data sets just not predictive? A current real life example for myself: My goal is to create a predictive model for cross selling insurance products. E.g. Car Insurance to Health Insurance. My data set consists mainly of…
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how to use the PCs (resulting from PCA) on my dataset in R?

I am an R learner. I am working on 'Human Activity Recognition' dataset from internet. It has 563 variables, the last variable being the class variable 'Activity' which has to be predicted. I am trying to use KNN algorithm here from CARET package of…
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The un-synchronize of the accuracy result in google colab and real data testing via postman

I have built svm kernel polynomial algorithm for predicting health diagnose with 2 labels and 37000+ data in dataset. Training and testing accuracy score is up 0.97. and when i test new data with this agorithm, the result is also as good as the…
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Categorical Feature relation with Target Feature (Discreate Numerical Feature)

I am currently working on Regression problem statement wherein we have around 13 Numerical Features and 38 Categorical Feature and we are required to predict the Target feature (Discreate Numerical Feature). Is there a method to determine which…
SID
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Building a predictive model from scratch in python

I have a bunch of texts that I am analyzing with python in order to generate a predictive model capable of elaborating a human like text. For this task I generate a dictionary containing each word that appears on the input and point it to another…
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How to interface to web-based predictive endpoints using Python

The following web-page provides example code for using a predictive endpoint using c# https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/use-prediction-api using System; using System.IO; using System.Net.Http; using…
Robert
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Would it be possible to predict experimental data with a predictive model trained on simulated data?

I am on a project of building a Machine Learning Model in material science. The goal is to build a predictive model with experimental data. Due to limited experimental cost and time, however, we don't expect enough data from an experiment. So we are…
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Modeling options

I have a step by step process that I am trying to do some predictions on. Basically we have a 10 step process that we log each step and how long it takes, when it starts, ends etc. I want to predict how long it will take to finish the 10th step…
Anthony Womack
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h20 predict function probability scoring on test data

I have created h20 random forest model for fraud prediction.now while scoring using predict function for test data. I got below dataframe from predict function output. Now for 2nd records it predicted 1 but probability of p1 is far less than p0.…
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Unbalanced dataset, Classification tree and cost matrix in R

I'm trying to create a classification model to predict one of two classes: "Hit" or "Miss". The dataset contains around 80% "Hits" thus it is highly unbalanced, so models such as classification trees (ctree from party package) choose to predict all…
user3639100
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Error R Studio and RGUi encountered a fatal error- Crashed. Predictive modelling for categorical large data set

I am working on a data set that has 21 attributes. 16 are categorical, 3 are ordinal factors and 2 are date/ time(target variable). Number of rows are 14512. What I what to achieve: This data set is basically about daily office incidents closed by…
Abhinav Sharma
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How can I predict the future data by past data?

If I have past data of employees for several years and want to predict the future data depending on the their behavior of taking their vacations, which algorithm or model is best for that? Any recommnedations or suggestions? For example: I took 10…
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Predictive Model in Python

I want to build a predictive model to predict the dropout rate of students based on their age, gender, and family income. I am a beginner with machine learning and want help. Please let me know how to proceed with this?
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Polynomial regression model to predict values for a variable with 500 rows

There are around 500 values planned and on the basis of this I have to predict new values actual. Kindly help me with the coding, here I'm showing what I am doing manually: predict(poly_reg, data.frame(planned= 48.80000, …