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tuiter

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-08-2021 by Diego Mauricio Paucar Villacorta
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  • Computer Systems Machine Learning
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42 features

nnumeric761 unique values
0 missing
CUENTAnominal17 unique values
0 missing
MESnumeric4 unique values
0 missing
topiconominal15 unique values
70 missing
Sexonominal2 unique values
0 missing
Tiernominal3 unique values
0 missing
Multimedianominal8 unique values
0 missing
Tiponominal5 unique values
0 missing
V9numeric2 unique values
0 missing
numeronominal3 unique values
0 missing
funcionnominal8 unique values
0 missing
sentimientonominal4 unique values
3 missing
URLscitadasnumeric3 unique values
0 missing
URL_Ytbnumeric2 unique values
0 missing
URL_Twitternumeric2 unique values
0 missing
tipo_webnominal11 unique values
557 missing
N_Anumeric6 unique values
0 missing
@1_CASOSnumeric2 unique values
0 missing
@2_MUERTESnumeric2 unique values
0 missing
@3_VIRUSnumeric2 unique values
0 missing
@4_PANDEMIAnumeric2 unique values
0 missing
@5_DATAnumeric2 unique values
0 missing
@6_ARTICULOnumeric2 unique values
0 missing
@7_HILOnumeric2 unique values
0 missing
@8_CIENCIAnumeric2 unique values
0 missing
@9_ESPnumeric2 unique values
0 missing
@10_ARGnumeric2 unique values
0 missing
@11_CUARENTENAnumeric2 unique values
0 missing
@12_AGUAnumeric2 unique values
0 missing
@13_CRITICAnumeric2 unique values
0 missing
@14_TESTnumeric2 unique values
0 missing
topico_nnumeric23 unique values
0 missing
Sexo_nnumeric2 unique values
0 missing
cuenta_nnumeric17 unique values
0 missing
tier_nnumeric3 unique values
0 missing
multimedia_nnumeric8 unique values
0 missing
tipo_nnumeric5 unique values
0 missing
funcion_nnumeric8 unique values
0 missing
@#_nnumeric3 unique values
0 missing
sentimiento_nnumeric5 unique values
0 missing
tipo_web_nnumeric12 unique values
0 missing
topico_nnnumeric16 unique values
0 missing

19 properties

761
Number of instances (rows) of the dataset.
42
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
630
Number of missing values in the dataset.
577
Number of instances with at least one value missing.
32
Number of numeric attributes.
10
Number of nominal attributes.
0.06
Number of attributes divided by the number of instances.
76.19
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
23.81
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.
1
Number of binary attributes.
2.38
Percentage of binary attributes.
75.82
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.97
Percentage of missing values.

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