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UCI Machine Learning Repository: Concrete Compressive ...

Center for Machine Learning and Intelligent Systems: ... × 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 Compressive Strength Data Set Download: Data Folder, Data Set Description.

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UCI Machine Learning Repository

Welcome to the UC Irvine Machine Learning Repository! We currently maintain 588 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page.For information about citing data sets in publications, please read our citation policy.

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UCI Machine Learning Repository: 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. I'm sorry, the dataset "concrete compressive strength" does not appear to exist. Supported By: In Collaboration With:

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Predicting concrete compressive strength using hybrid ...

2021-7-1  Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models. ... Irvine (UCI) machine learning repository. The collected dataset was divided into training and testing subsets to train and validate the employed models. The accuracies of all models were compared and analysed using a variety of statistical ...

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machine learning/Concrete Compressive Strength Dataset

UCI Machine Learning Repository의 Concrete Compressive Strength Data Set에서 Concrete_Data.xls를 다운로드데이터 적재Cement (component 1) -- quantitative -- kg in a cement slag ash water superplastic coarseagg fineagg age strength count 1030.000000

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UCI Machine Learning Repository: Concrete Slump Test

Data Set Information: The data set includes 103 data points. There are 7 input variables, and 3 output variables in the data set. The initial data set included 78 data. After several years, we got 25 new data points. Attribute Information: Input variables (7) (component kg in one M^3 concrete): Cement. Slag.

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UCI Machine Learning Repository: Data Sets

Multivariate, Text, Domain-Theory . Classification, Clustering . Real . 2500 . 10000 . 2011

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GitHub - pranaymodukuru/Concrete-compressive-strength ...

2020-4-8  Concrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge.

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数据集仓库 —— UCI Machine Learning Repository_颹蕭蕭 ...

2019-12-28  UCI Machine Learning Repository 数据集仓库 —— UCI Machine Learning Repository 颹蕭蕭 2019-12-28 13:08:25 5698 收藏 9 分类专栏: # 机器学习 ...

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GitHub - LaxmiChaudhary/Modeling-of-strength-of-high ...

2019-10-25  Modeling-strength-of-high-performance-concrete-using-Machine-Learning Problem statement. Modeling of strength of high performance concrete using Machine Learning. Dataset Description. The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory.

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GitHub - nitya123-github/Concrete-strength: Predicting

Analysed the Compressive Strength and used Machine Learning to Predict the Compressive Strength of Concrete. We have used Linear Regression and its variations, Decision Trees and Random Forests to make predictions and compared their performance. Random Forest Regressor has the lowest RMSE and is a good choice for this problem.

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UCI Machine Learning Repository

Welcome to the UC Irvine Machine Learning Repository. We currently maintain 475 data sets as a service to the machine learning community. Here, you can donate and find data sets used by millions of people all around the world! View Data Sets. Donate a Data Set.

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GitHub - pranaymodukuru/Concrete-compressive-strength ...

2020-4-8  Concrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge.

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Concrete-compressive-strength/README.md at master ...

2021-8-11  Concrete-compressive-strength Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge.

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GitHub - LaxmiChaudhary/Modeling-of-strength-of-high ...

2019-10-25  Modeling-strength-of-high-performance-concrete-using-Machine-Learning Problem statement. Modeling of strength of high performance concrete using Machine Learning. Dataset Description. The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory.

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UCI Machine Learning Repository

A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm. By Shing Tan, M. Rao, Chee Lim. 2007. Published in Soft Computing in Industrial Applications. Journal: Soft Computing in Industrial Applications

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Predicting Concrete Compressive Strength with ML Kaggle

Compressive strength increases with amount of cement. Compressive strength increases with age. Cement with low age requires more cement for higher strength. The older the cement is the more water it requires. Concrete strength increases when less water is used in preparing it. link.

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uci-machine-learning GitHub Topics GitHub

2020-7-1  Predicting whether a patient is normal or abnormal using SVM. Linear and RBF kernels are used to build the classifier model. Different 'C' and 'gamma' values are chosen to tune the model. python svm support-vector-machines kernels uci-machine-learning

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酷站推荐 - archive.ics.uci/ml/ - UCI Machine Learning ...

2017-10-30  酷站推荐 - archive.ics.uci/ml/ - UCI Machine Learning Repository. 梦游记-酷站推荐. . 梦游记-酷站推荐. UCI Machine Learning Repository. UCI Machine Learning Repository. 发布于 2017-10-30. 机器学习. 在线机器学习.

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UCI机器学习数据库使用说明_rckel的专栏-CSDN博客_uci ...

2010-11-27  UC Irvine Machine Learning Repository:UCI指的是加州大学欧文分校。UCI机器学习库主要是收集的机器学习领域的一些相关数据集和数据生成器,可以用来做一些基本的实验。

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Prediction on the Concrete Compressive Strength Using ...

2015-7-2  The response variable in this data set given by UCI machine learning repository is the compressive strength of high performance concrete. There are eight explanatory variables that were shown above and 1030 observations. Table 1 includes the information for each feature:

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(PDF) Estimated of Concrete Compressive Strength by

artificial neural networks (ANN) and machine learning c an be used to forecast the compressive strength of high-performance concrete. On the other side, we'll evaluate the errors of all o f the ...

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Concrete - Yellowbrick: Machine Learning Visualization

2016-10-13  The concrete compressive strength is the regression problem. The order of this listing corresponds to the order of numerals along the rows of the database. Citation¶ Downloaded from the UCI Machine Learning Repository on October 13, 2016.

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Regression Problem using Apple`s Machine Learning ...

2020-10-13  We will be making use of UC Irvine Machine Learning Repository – Concrete Compressive Strength Dataset of UCI. The dataset has 1030 rows and 9 columns. The last column “csMPa” is the target variable which we want to predict. Dataset. Getting Started

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中国聚合物网--UCI Machine Learning Repository (机器学习 ...

theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. The format to cite the repository: Newman, D.J. Hettich, S. Blake, C.L. Merz, C.J. (1998). UCI Repository ...

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Model Hyperparameters Tuning using Grid, Random and ...

2020-10-22  Thus, I thought it would be interesting to model the concrete’s compressive strength using a tree-based ensemble (Gradient Boosted Regressor). Hence, in this article, we are going to use the concrete dataset [1] obtained from the UCI Machine Learning library.

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uci-machine-learning GitHub Topics GitHub

2020-3-27  The goal of this project is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The dataset is collected from the Auditor Office of India to build a predictor for classifying suspicious firms and is publicly available on UCI's Machine Learning Repository.

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Hyperparameter Tuning of Keras Deep Learning Model in ...

2020-5-13  Thus, I thought it would be interesting to model the concrete’s compressive strength using a deep learning model. Hence, in this article, we are going to use the concrete dataset [1] obtained from the UCI Machine Learning library. The dataset includes the following variables, which are the ingredients for making durable high strength concrete.

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Revisiting a Concrete Strength regression Kaggle

2018-6-15  The concrete compressive strength is the regression problem. The order of this listing corresponds to the order of numerals along the rows of the database. Name -- Data Type -- Measurement -- Description. Cement (component 1) -- quantitative -- kg in a m3 mixture -- Input Variable. Blast Furnace Slag (component 2) -- quantitative -- kg in a m3 ...

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