uci machine learning repository concrete slump test data set

UCI Machine Learning Repository: Concrete Slump Test Data Set

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site. Concrete Slump Test Data Set Download: Data Folder, Data Set Description. Abstract: Concrete is a highly complex material. The slump flow of concrete is ...

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UCI Machine Learning Repository: Concrete Slump Test Data Set

Center for Machine Learning and Intelligent Systems: About Citation Policy Donate a Data Set Contact. Repository Web View ALL Data Sets: Concrete Slump Test Data Set Download: Data Folder, Data Set Description. Abstract: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is ...

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UCI Machine Learning Repository: Data Sets

1. Computer Hardware: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc.. 2. Servo: Data was from a simulation of a servo system. 3. Concrete Slump Test: Concrete is a highly complex material.The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients.

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UCI Machine Learning Repository: Data Sets

Concrete Compressive Strength: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. 12. Concrete Slump Test: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced ...

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UCI Machine Learning Repository: Concrete Compressive ...

Download: Data Folder, Data Set Description. Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. Data Set Characteristics: Multivariate. Number of Instances: 1030.

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UCI Machine Learning Repository: Data Sets

About Citation Policy Donate a Data Set Contact. Repository Web View ALL Data Sets: × Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to ... Concrete Slump Test. Multivariate . Regression . Real . 103 . 10 . 2009 :

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UCI Machine Learning Repository: Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, ... Concrete Slump Test. Multivariate . Regression . Real . 103 . 10 . 2009 : Communities and Crime. Multivariate ... A Data Set for Multi-Label Multi-Instance Learning with Instance Labels. Text ...

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Revisiting Machine Learning Datasets - Concrete Slump Test ...

Aug 09, 2018  Revisiting Machine Learning Datasets - Concrete Slump Test. Today, we will have a look at this dataset on Concrete Slump Test by Yeh (2007) [ 1] as part of my “Exploring Less Known Datasets for Machine Learning” series. Let us see how state-of-the-art algorithms compare with the results from 2007. (My views on this dataset are entirely ...

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UCI Machine Learning Repository: Data Sets

About Citation Policy Donate a Data Set Contact. Repository Web View ALL Data Sets: × Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to ... Concrete Slump Test. Multivariate . Regression . Real . 103 . 10 . 2009 :

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PREDICTION OF CONCRETE STRENGTH WITH DATA MINING

Sep 30, 2018  Ready-mixed concrete is a product whose quality can only be understood at the end of the 28 th day if it is only controlled by taking the sample by the user. In this study, a data mining study was conducted on the factors affecting the 28-day compressive strength of concrete using the Concrete Slump Test Data Set from UCI Machine Learning ...

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GitHub - anubhav582/Concrete-Strength-Analysis: Using ...

Jul 04, 2019  Using Concrete Slump Test data set found on the UCI ML repository build models to predict the compressive strength of concrete - anubhav582/Concrete-Strength-Analysis

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slump-test Machine Learning Data - Network Data Repository

Download data. This data set is in the collection of Machine Learning Data Download slump-test slump-test is 5KB compressed! Visualize and interactively analyze slump-test and discover valuable insights using our interactive visualization platform.Compare with hundreds of other data across many different collections and types.

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structural similarity and the Fuzzy Method in the Concrete ...

structural similarity and the Fuzzy Method in the Concrete Slump Test Process ... in the concrete from data set described in UCI Machine learning repository. ... in UCI Machine learning repository.

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Unipamplona

consider the problem of estimation stump test dynamics parameters in the con- crete from data set described in UCI Machine learning repository. We consider this is important for monitoring mixture concrete mechanics in civil engineering by pattern recognition of behavioral (curvature and slope features) of compres-

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UCI Machine Learning Repository - Lorenz-Meyer

Mar 24, 2008  Welcome to the UC Irvine Machine Learning Repository! mirror site to download data. --> We currently maintain 189 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. Our old web site is still available, for those who prefer the old format. For a general overview of the Repository, please visit our About page.

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Concrete Compressive Strength Prediction using Machine ...

Mar 05, 2020  Concrete Compressive Strength. The Compressive Strength of Concrete determines the quality of Concrete. This is generally determine d by a standard crushing test on a concrete cylinder. This requires engineers to build small concrete cylinders with different combinations of raw materials and test these cylinders for strength variations with a change in each raw material.

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Structural Similarity and the Fuzzy Method in the Concrete ...

Keywords: Concrete Slump Test, Identification, Structural Similarity, Fuzzy Set. 1 Introduction The Concrete is an essential cost effective construction material that is made from a mixture of nonreactive aggregates, cement powder, water, and sometimes admixtures. The cement is the binder that holds everything together.

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Data — Applied Predictive Modeling

Glass identification data: The UC Irvine Machine Learning Repository contains a data set related to glass identification. The data consist of 214 glass samples labeled as one of seven class categories. The predictors include 9 predictors, including the refractive index and percentages of 8 elements. The data are also in the mlbench R package.

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Predictive Analytics and Machine Learning – My Assignment ...

Apr 13, 2021  Dates: Friday 5 th March 2021: a short one-pager setting out your choice of which data set from the UCI Machine Learning Repository will be used in R and which techniques are going to be applied and compared.To be submitted through the Moodle dropbox as a Word file named with you student ID in the form u123456_DS7003_plan.docx. Friday 23 rd April 2020: a preliminary draft of

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The second category of data arises from the UC Irvine ...

The second category of data arises from the UC Irvine Machine Learning from BUSINESS 811 at Michigan State University

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Kaggle: Your Machine Learning and Data Science Community

Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

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Machine Learning. Ensemble methods – Stacking. – Evenings ...

Feb 22, 2020  Line 10 imports the Pandas module for data handling, and Line 11 imports the Numpy module that will be used later on.Line 13 reads the edited .csv file downloaded from the repository, with the selected seven samples removed, as a Pandas dataframe. The data is then split into X (feature variables) and y (target variable) in Line 15 and 16.Likewise for the seven test samples in Line 18 to 21.

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UCI Machine Learning Repository: Data Sets

Concrete Compressive Strength: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. 12. Concrete Slump Test: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced ...

get price

PREDICTION OF CONCRETE STRENGTH WITH DATA MINING

Sep 30, 2018  Ready-mixed concrete is a product whose quality can only be understood at the end of the 28 th day if it is only controlled by taking the sample by the user. In this study, a data mining study was conducted on the factors affecting the 28-day compressive strength of concrete using the Concrete Slump Test Data Set from UCI Machine Learning ...

get price

(PDF) Structural Similarity and The Fuzzy Methods in the ...

Structural Similarity and The Fuzzy Methods in the Concrete Slump Test Process ... in the concrete from data set described in UCI Machine learning repository. ... UCI machine learning repository ...

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Unipamplona

consider the problem of estimation stump test dynamics parameters in the con- crete from data set described in UCI Machine learning repository. We consider this is important for monitoring mixture concrete mechanics in civil engineering by pattern recognition of behavioral (curvature and slope features) of compres-

get price

Similarity and the Fuzzy Method Structural in the Concrete ...

Similarity and the Fuzzy Method Structural in the Concrete Slump Test Process. October 2011; ... described in UCI Machine learning repository. We consider this is important for monitoring mixture ...

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Frontiers Multi-Objective Optimization Methods for ...

Jul 26, 2021  As an example of this kind of database, the University of California Irvine’s Machine Learning Repository houses a dataset of 1,000 concrete mixture designs and the resultant compressive strength (UCI Machine Learning Repository, 2020). This dataset should be expanded to include mixture design information including other types of SCMs and ...

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Modeling slump of concrete with fly ash and ...

In fact, the data set was originally collected by Yeh [30, 31], and was already used for training and testing individual machine learning algorithms, see [18]. The tested concrete has eight ...

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A Modified Bio Inspired: BAT Algorithm: Computer Science ...

For the extraction of knowledge, five sets of data have been chosen from UCI machine learning repository. These are Iris flower data set (2013), Wine data set (“Wine Quality”.), Boston city data set (“Welcome to”), Wisconsin breast cancer data set (“Breast Cancer”) and Concrete slump test (“Concrete Slump”) Initially Iris data ...

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UCI-ML-API/UCI database.csv at master tirthajyoti/UCI-ML ...

The data set addresses the condition assessment of a hydraulic test rig based on multi sensor data. Four fault types are superimposed with several severity grades impeding selective quantification. Condition+monitoring+of+hydraulic+systems

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GitHub - ibodumas/MachineAlgorithm: I developed a function ...

Oct 04, 2017  I developed a function to perform regularized linear and Gaussian basis functions for regression. Some dataset from the UCI machine learning repository were used to validate the function. - ibodumas/MachineAlgorithm

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Predictive Analytics and Machine Learning – My Assignment ...

Apr 13, 2021  Dates: Friday 5 th March 2021: a short one-pager setting out your choice of which data set from the UCI Machine Learning Repository will be used in R and which techniques are going to be applied and compared.To be submitted through the Moodle dropbox as a Word file named with you student ID in the form u123456_DS7003_plan.docx. Friday 23 rd April 2020: a preliminary draft of

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Exploring Less Known Datasets for Artificial Intelligence ...

The idea of machine learning and especially of deep learning is to generalize more and therefore move towards Artificial General Intelligence. In my opinion using the same datasets all over again contradicts this idea a bit. Furthermore, machine learning has so many different applications hence it is useful to think and test a bit broader.

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Prediction of compressive strength and portland cement ...

Nov 20, 2019  Yeh conducted an experiment, which is known as slump test in which, slump of concrete is a function of the following seven input features ... Prediction result of HPC slump flow data set with machine learning models. ... The authors would like to acknowledge the UCI Machine Learning Repository for providing experimental data set and support of ...

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Machine Learning. Hyperparameter Tuning. – Evenings With ...

Feb 17, 2020  Line 62 then splits the data into a training set, and a testing set. The test_size is set as 30% of the full data set, while the random_state value act as a seed value to make the result reproducible to follow by fixing a particular state. Line 63 fits a line to the training data and Line 64 uses this best fit line to predict the testing data.

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