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Questions tagged [predictive-modeling]

Statistical techniques used for predicting outcomes.

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Why loss and val_loss vary for same value of lr, epoch, batch size and lr-decay?

I am training a deep neural network in Keras. I have set the values of learning rate, learning rate decay, epochs and batch size. (I am using fit_generator i.e ...
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1answer
24 views

improving accuracy of classification

I have data with 95 numeric variables and 5 categorical variables. My Y has 2 values. I built a decision tree and my accuracy was 81.8%. Then I created 3 new variables as follows. It improved accuracy ...
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2answers
56 views

How important is the input data for a ML model?

Last 4-6 weeks, I have been learning and working for the first time on ML. Reading blogs, articles, documentations, etc. and practising. Have asked lot of questions here on Stack Overflow as well. ...
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1answer
15 views

Train, test and submission files - what am I supposed to do with all of them?

this might be very beginner's question. I'm working on Kaggle's HomeCredit Default Risk problem which has among others dataset train, test and submission files as can be seen in the link provided. The ...
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1answer
17 views

Revenue Projection

Given that we have Monthly revenue data for pass 3 years (36 rows of revenue) We have other data including economic indicators, industry indicators as well (other columns in the 36 rows) ...
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1answer
61 views

What Predictions can be done for Restroom/Washroom Data? [closed]

My company has installed sensors, which actually monitors the Restrooms/Washrooms in the Building. Currently the sensors collect data such as Ammonia, Nitrous and Visitors Count; All the data ...
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I am getting p value 0 for my population I teven tried zscore for normalization

a1 is the columncolumn a1 g=scipy.stats.mstats.zscore(a1) g stat, p = normaltest(g) print "%.3f, %.9f" %(stat ,p) Result 8.570, 0.00000000 p1=scipy.stats.kstest(g,'norm') p1 KstestResult(...
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10 views

The Type of response variable in linear mixed model

Iam working on mixed linear model and I want to predict the sucess or the failure of the campaign . Is it possible for response variable in mixed linaer mode to be as 0 or 1
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1answer
12 views

Service Request classification, questionnaire filling and call logging

I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here. Scenario : We ...
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3answers
104 views

Forecasting ticket sales and city

I am learning data science. I have the following dataset for train tickets: ...
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1answer
20 views

Machine Learning Models for Non-Imaging Medical Clinical Data

I am a beginner in machine learning. Since machine learning is a wide area, I would like keep my focus on clinical data. When I search for machine learning samples in healthcare, most of the examples ...
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2answers
18 views

How to handle continuous values and a binary target?

This is going to be a very beginner's question. I have a datset of continues features like LoanAmount, LoanDuration(multiclass?), ... ClientIncome, ClientFreeSources, etc. and a binary target whether ...
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Can transfer learning be applied to predict sales

Let matrix A be a user item matrix.Upon performing UV decomposition , I get a user factor matrix and factor entity matrix. The company I am interning at doesn't keep track of the user factor matrix.I ...
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7 views

computation mean squared error

I'm using neuralnet package in r. I've 4 nodes in input layer while output consists of two nods. Two hidden layers consisting of 5 and 25 nods respectively. I'm facing the difficulty how to compute ...
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20 views

Need help understanding time series approach used for predicting earthquake arrival?

In predicting the arrival time of earthquakes, a paper here seems to make use of a time series approach that is making me scratch my head, and I would appreciate any guidance on understanding it. In ...
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13 views

SVM radial kernel equation

Lets say i have two independent variables (P and Q) and a binary variable C. i use logistic regression to calculate individual coefficients of P and Q (m,n) plus a constant( b). The equation of ...
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5 views

Prediction failure event using the Cox proportional hazard model

I'm new to data science and my task is to predict the next failure event (FE) given previous events. Assume that I found a pattern that finishes with that failure event, for example: ...
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15 views

Multiclass classification problem with more prediction classes than real classes

Can I have a multiclass classification problem with more prediction classes than real classes? For example: I want to predict the channel the user is going to watch. The real classes are "user didn't ...
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1answer
20 views

Training on data with inherently non-applicable data cells

I am training a model on a chemical sample dataset to find outliers and perform imputation where it makes sense. Chemical Dataset Contains thousands of rows of chemical mixtures with many columns of ...
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centrifugal pump vibration data predictive model [closed]

I am a beginner in data analysis. I have vibration data of 5 centrifugal pumps in .csv format and I want to make a model which predict the error using vibration data. Can anyone guide me, how to start ...
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1answer
17 views

How to define a MLP with multiple outputs

I need to build a neural network to predict predict outputs based on a set a input features, for a multi-channel system. Once I figure out this problem, I will implement it in Keras. Let me describe ...
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1answer
27 views

using neural networks to predict set of charactertics

Say i have a matrix with m rows and n features where m is the number of people on say an dating website such as tinder. So n could be age, sex, location,job... etc these kinds of features. My output ...
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0answers
27 views

Using datasets to predict the results for other devices

I have a datasets that contain results from a series of physical tests. It has about a dozen features and the outcome of each test is distinguished by 3 different classes. The dataset includes ...
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1answer
45 views

How to launch a Machine Learning model? [closed]

First of all thank you for taking your time to read my question. I have done a Machine Learning model with a dataset (The famous one about Cancer) and I want to know how can I do to predict the ...
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1answer
46 views

Can anyone explain the reasoning behind this post?

I am reading THIS blog post, and I do not understand the logic behind this part: Why is the relu here max(0, Xavg - X) ? And even so, it does not really explain ...
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12 views

Applying predictive maintenance to predict labor, what kind of test data should be used?

I am trying to make a machine learning based program which can give an early alert of cow's calving/labor time (few hours before). As I search for examples and technique, I am interested in using the ...
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1answer
116 views

Why is performance worse when my time-series data is not shuffled prior to a train/test split vs. when it is shuffled prior to the split?

We are running RandomForest model on a time-series data. The model is run in real time and is refit every time a new row is added. Since it is a timeseries data, we set shuffle to false while ...
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How to create a timeline graph ( Date / time series) in MATLAB?

The data file is attached https://ufile.io/ttwi8.How may I create a timeline graph where my y-axis is the number of cases(Demand and prediction as sjown in attached graph) and my x axis is increasing ...
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0answers
21 views

Regression model Giving the same prediction for all new inputs until i load the model again

I have build a regression model that has some decent accuracy measures. I have pickled it and loading it another project. However it is producing the same predictions every time when i pass new ...
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0answers
38 views

How to implement Moving window with LSTM for Time Series Prediction?

I am trying to implement a moving window in my dataset. The window size=14 (for instance).After implemntinf sliding window how to prepare inputs and outputs for netwok? ...
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0answers
12 views

Training regression LTSM model with features having more than one value per time

Dataset of amount of #Alarms, on weekly basis, there are 37 weeks. The feature data set connected to the each week, have more than one value. ...
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0answers
14 views

Including user-item pairs without interactions in implicit feedback dataset for recommender system

I have a dataset which contains information about how many times a particular user viewed certain item. So, I don't have rows for all combinations (where the value will be zero ofc because the user ...
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0answers
51 views

ML/Statistical Model to Analyse the Distribution

Consider a Sample Data-set provided below; ...
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1answer
102 views

How can i find trend time for my articles?

our article is time-based, that means is my article search more in a specific time. as you can see in under chart this article search more in specific period time. if my dataset looks like this(it ...
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1answer
35 views

Ranking ATM based on Utilization and Economic Data (Scoring/Rank Model)

I have a sample data of around 10 ATM's Locations along with their Utilization Count (Deposits, Withdrawals and Others) for the past 3 months. I am planning to collect additional data such as nearby ...
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1answer
18 views

Supervised or unsupervised learning for predicting energy consumption for new buildings

I’m working on an model for auto dimensioning district heating pipes for new district heating areas (new customers). I have energy consumption data on hourly basis and describe data about these ...
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0answers
15 views

How to build a predictive model on normalized data

I have a dataset of accounts that contain a number of users that share a subscription to a product (think Netflix family account or something like that). In order to predict whether an account will be ...
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3answers
105 views

when can xgboost or catboost be better then Logistic regression?

I need to improve the prediction result of an algorithm that is already programmed based on logistic regression ( for binary classification). I tried to use XGBoost and CatBoost (with default ...
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Machine learning models for predicting good machine settings given bad machine settings [closed]

I’ve a dataset about a machine that produces a product. Salient features about the dataset: • For each data point, some of the features are machine settings (calibration factor, grind time, ...
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13 views

Qualitative prediction based off data containing mixed qualitative and quantitative values? [closed]

I'm trying to find a way to predict an integer value based off of an item's prior sale history and am inquiring for a starting point on how to approach this. The factors are as follows (Data Type in ...
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1answer
22 views

What is the best way to predict multiple outcome from a single entity?

Let's say i have three model: Facial recognition, Face landmark detection, Emotion recognition. Now if i want to predict those three feature from a single image. What should be my approach? Should i ...
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26 views

How to solve a classification problem when the independent variables/covariates/feature vectors form a time series?

Cross posted here: https://stats.stackexchange.com/questions/389189/how-to-solve-a-classification-problem-when-the-independent-variables-covariates, but no answer; hence trying here as well! I hope ...
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About applying time series forecasting to problems better suited for reinforcement learning, like toy example “Jack's car rental”

"Jack's car rental" is an example of a reinforcement learning problem, proposed in the Sutton & Barto book, in which the goal is to optimize the daily distribution of cars in two locations of the ...
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2answers
95 views

Sports prediction using machine learning [closed]

I am trying to predict soccer scores using past results. The dataset I have only consists of the home team, the away team, goals scored by the home team and goals scored by the away team in each match....
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0answers
25 views

Job Recommendation System

I am building a Job Recommendation System where I have Student Data for different subjects in Machine Learning(Data Viz, Python, Statistics, etc) and their skills from the resume. Need to Recommend ...
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1answer
45 views
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1answer
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Using LSTM's on Multivariate Input AND Multivariate Output

I have a very small dataset, only about 40 rows, that has historical usage data for a few categories (roughly 20). I strongly suspect that these categories are dependent in a partial-zero-sum-game ...
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0answers
14 views

Specific data formatting techniques for discontiguous time series?

I'm facing a predicting problem for food alerts. The goal is to predict the variables of the most probable alert in the next x days (also any information I could get about future alerts is really ...
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0answers
39 views

Anomaly Detection: Model Creation & Implementation

I'm trying to determine the best approach to an anomaly detection problem. Particularly around setting up the data, building the models, and leveraging the models to identify important information. ...