Data
Calculate-Concrete-Strength

Calculate-Concrete-Strength

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Context This data set aims to provide a start up for the ones who just started off with deep learning and act as a benchmark. Content The feature set includes: Cement Blast Furnace Slag Fly Ash Water Super-plasticizer Coarse Aggregate Fine Aggregate Age The target set is: Strength of the Cement Inspiration The main agenda is not only to solve and get better results but understand the process and learn from the journey. best of luck.

9 features

Cementnumeric278 unique values
0 missing
Blast_Furnace_Slagnumeric185 unique values
0 missing
Fly_Ashnumeric156 unique values
0 missing
Waternumeric195 unique values
0 missing
Superplasticizernumeric111 unique values
0 missing
Coarse_Aggregatenumeric284 unique values
0 missing
Fine_Aggregatenumeric302 unique values
0 missing
Agenumeric14 unique values
0 missing
Strengthnumeric845 unique values
0 missing

19 properties

1030
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
9
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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