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Devnagari-Script

Devnagari-Script

active ARFF Publicly available Visibility: public Uploaded 26-09-2017 by Saurab Rajkarnikar
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Author: Prashnna K Gyawali, Shailesh Acharya, Ashok Pant Source: [Computer Vision Research Group, Nepal](https://web.archive.org/web/20160105230017/http://cvresearchnepal.com/wordpress/dhcd/), [Kaggle](https://www.kaggle.com/rishianand/devanagari-character-set) Please cite: Acharya S., Pant A.K., Gyawali P.K.,”Deep Learning based large scale handwritten Devanagari Character Recognition” Proceeding of 9th International Conference on Software, Knowledge, Information Management & Applications Character Recognition for Devanagari Script Over 92 thousand images (32x32 pixels) of 46 characters from Devanagari script. Includes the alphabet as well as the numbers. Devanagari is an Indic script and forms a basis for over 100 languages spoken in India and Nepal including Hindi, Marathi, Sanskrit, and Maithili. It comprises of 47 primary alphabets, 14 vowels, and 33 consonants, and 10 digits. In addition, the alphabets are modified when a vowel is added to a consonant. There is no capitalization of alphabets, unlike Latin languages.

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0 missing
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0 missing
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0 missing
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0 missing
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pixel_0997numeric1 unique values
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pixel_0998numeric1 unique values
0 missing
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0 missing
pixel_0999numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_0744numeric256 unique values
0 missing
pixel_1000numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_1001numeric1 unique values
0 missing
pixel_0234numeric256 unique values
0 missing
pixel_0490numeric256 unique values
0 missing
pixel_0746numeric256 unique values
0 missing
pixel_1002numeric1 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
pixel_0749numeric256 unique values
0 missing
pixel_1005numeric1 unique values
0 missing
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0 missing
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0 missing
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0 missing
pixel_1006numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_0751numeric256 unique values
0 missing
pixel_1007numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_0752numeric256 unique values
0 missing
pixel_1008numeric1 unique values
0 missing
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0 missing
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0 missing
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0 missing
pixel_1009numeric1 unique values
0 missing
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0 missing
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0 missing
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0 missing
pixel_1010numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_0755numeric256 unique values
0 missing
pixel_1011numeric1 unique values
0 missing
pixel_0244numeric256 unique values
0 missing
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0 missing
pixel_0756numeric256 unique values
0 missing
pixel_1012numeric1 unique values
0 missing
pixel_0245numeric256 unique values
0 missing
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0 missing
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0 missing
pixel_1013numeric1 unique values
0 missing
pixel_0246numeric256 unique values
0 missing
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0 missing
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0 missing
pixel_1014numeric1 unique values
0 missing
pixel_0247numeric256 unique values
0 missing
pixel_0503numeric256 unique values
0 missing
pixel_0759numeric256 unique values
0 missing
pixel_1015numeric1 unique values
0 missing
pixel_0248numeric256 unique values
0 missing
pixel_0504numeric256 unique values
0 missing
pixel_0760numeric256 unique values
0 missing
pixel_1016numeric1 unique values
0 missing
pixel_0249numeric256 unique values
0 missing
pixel_0505numeric256 unique values
0 missing
pixel_0761numeric256 unique values
0 missing

62 properties

92000
Number of instances (rows) of the dataset.
1025
Number of attributes (columns) of the dataset.
46
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.
1024
Number of numeric attributes.
1
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
46
Average number of distinct values among the attributes of the nominal type.
-1.3
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.93
Mean skewness among attributes of the numeric type.
75.26
Second quartile (Median) of means among attributes of the numeric type.
2.17
Percentage of instances belonging to the most frequent class.
77.05
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
2000
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.71
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.84
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
103.57
Second quartile (Median) of standard deviation of attributes of the numeric type.
27.7
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
163.71
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-0.36
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
46
The minimal number of distinct values among attributes of the nominal type.
99.9
Percentage of numeric attributes.
92.54
Third quartile of means among attributes of the numeric type.
46
The maximum number of distinct values among attributes of the nominal type.
-0.61
Minimum skewness among attributes of the numeric type.
0.1
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5.21
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.2
Third quartile of skewness among attributes of the numeric type.
115.16
Maximum standard deviation of attributes of the numeric type.
2.17
Percentage of instances belonging to the least frequent class.
-1.56
First quartile of kurtosis among attributes of the numeric type.
108.33
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
2000
Number of instances belonging to the least frequent class.
19.58
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.27
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
61.25
Mean of means among attributes of the numeric type.
0.49
First quartile of skewness among attributes of the numeric type.
1
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
59.86
First quartile of standard deviation of attributes of the numeric type.
5.52
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.

5 tasks

41 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: character
0 runs - estimation_procedure: 33% Holdout set - target_feature: character
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: character
0 runs - estimation_procedure: 50 times Clustering
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