Questions tagged [predictive-modeling]
Statistical techniques used for predicting outcomes.
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16 views
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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0answers
14 views
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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0answers
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:
...
2
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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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22 views
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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0answers
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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0answers
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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0answers
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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0answers
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:
...
2
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0answers
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 ...
2
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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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0answers
12 views
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 ...
1
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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 ...
2
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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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0answers
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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0answers
10 views
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 ...
2
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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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51 views
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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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2answers
35 views
How to predict correct text from incorrect text with machine learning? [closed]
I have a dataframe like this:
...
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2answers
39 views
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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0answers
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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0answers
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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0answers
18 views
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
41 views
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.
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