Update README.md
Browse filesadd index of language
README.md
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### Evaluation Results
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The test datasets refers to the **common_language** test datasets.
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|language | precision | recall | f1-score | support |
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| --- | --- | ---| --- | --- |
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|Arabic|1.00|1.00|1.00|151|
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| Basque | 0.99 | 1.00 | 1.00 | 111|
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| Breton | 1.00 | 0.90 | 0.95 | 252|
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| Catalan | 0.96 | 0.99 | 0.97 | 96|
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| Chinese_China | 0.98 | 1.00 | 0.99 | 100|
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| Chinese_Hongkong | 0.97 | 0.87 | 0.92 | 115|
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| Chinese_Taiwan | 0.92 | 0.98 | 0.95 | 170|
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| Chuvash | 0.98 | 1.00 | 0.99 | 137|
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| Czech | 0.98 | 1.00 | 0.99 | 128|
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| Dhivehi | 1.00 | 1.00 | 1.00 | 111|
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| Dutch | 0.99 | 1.00 | 0.99 | 144|
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| English | 0.96 | 1.00 | 0.98 | 98|
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| Esperanto | 0.98 | 0.98 | 0.98 | 107|
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| Estonian | 1.00 | 0.99 | 0.99 | 93|
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| French | 0.95 | 1.00 | 0.98 | 106|
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| Frisian | 1.00 | 0.98 | 0.99 | 117|
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| Georgian | 1.00 | 1.00 | 1.00 | 110|
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| German | 1.00 | 1.00 | 1.00 | 101|
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| Greek | 1.00 | 1.00 | 1.00 | 153|
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| Hakha_Chin | 0.99 | 1.00 | 0.99 | 202|
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| Indonesian | 0.99 | 0.99 | 0.99 | 150|
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| Interlingua | 0.96 | 0.97 | 0.96 | 182|
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| Italian | 0.99 | 0.94 | 0.96 | 100|
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| Japanese | 1.00 | 1.00 | 1.00 | 144|
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| Kabyle | 1.00 | 0.96 | 0.98 | 156|
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| Kinyarwanda | 0.97 | 1.00 | 0.99 | 103|
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| Kyrgyz | 0.98 | 1.00 | 0.99 | 129|
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| Latvian | 0.98 | 0.98 | 0.98 | 171|
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| Maltese | 0.99 | 0.98 | 0.98 | 152|
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| Mongolian | 1.00 | 1.00 | 1.00 | 112|
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| Persian | 1.00 | 1.00 | 1.00 | 123|
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| Polish | 0.91 | 0.99 | 0.95 | 128|
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| Portuguese | 0.94 | 0.99 | 0.96 | 124|
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| Romanian | 1.00 | 1.00 | 1.00 | 152|
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|Romansh_Sursilvan | 0.99 | 0.95 | 0.97 | 106|
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| Russian | 0.99 | 0.99 | 0.99 | 100|
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| Sakha | 0.99 | 1.00 | 1.00 | 105|
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| Slovenian | 0.99 | 1.00 | 1.00 | 166|
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| Spanish | 0.96 | 0.95 | 0.95 | 94|
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| Swedish | 0.99 | 1.00 | 0.99 | 190|
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| Tamil | 1.00 | 1.00 | 1.00 | 135|
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| Tatar | 1.00 | 0.96 | 0.98 | 173|
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| Turkish | 1.00 | 1.00 | 1.00 | 137|
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| Ukranian | 0.99 | 1.00 | 1.00 | 126|
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| Welsh | 0.98 | 1.00 | 0.99 | 103|
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### Evaluation Results
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The test datasets refers to the **common_language** test datasets.
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|index| language | precision | recall | f1-score | support |
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| --- | --- | --- | ---| --- | --- |
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|0|Arabic|1.00|1.00|1.00|151|
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|1| Basque | 0.99 | 1.00 | 1.00 | 111|
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|2| Breton | 1.00 | 0.90 | 0.95 | 252|
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|3| Catalan | 0.96 | 0.99 | 0.97 | 96|
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|4| Chinese_China | 0.98 | 1.00 | 0.99 | 100|
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|5| Chinese_Hongkong | 0.97 | 0.87 | 0.92 | 115|
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|6| Chinese_Taiwan | 0.92 | 0.98 | 0.95 | 170|
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|7| Chuvash | 0.98 | 1.00 | 0.99 | 137|
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|8| Czech | 0.98 | 1.00 | 0.99 | 128|
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|9| Dhivehi | 1.00 | 1.00 | 1.00 | 111|
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|10| Dutch | 0.99 | 1.00 | 0.99 | 144|
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|11| English | 0.96 | 1.00 | 0.98 | 98|
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|12| Esperanto | 0.98 | 0.98 | 0.98 | 107|
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|13| Estonian | 1.00 | 0.99 | 0.99 | 93|
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|14| French | 0.95 | 1.00 | 0.98 | 106|
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|15| Frisian | 1.00 | 0.98 | 0.99 | 117|
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|16| Georgian | 1.00 | 1.00 | 1.00 | 110|
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|17| German | 1.00 | 1.00 | 1.00 | 101|
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|18| Greek | 1.00 | 1.00 | 1.00 | 153|
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|19| Hakha_Chin | 0.99 | 1.00 | 0.99 | 202|
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|20| Indonesian | 0.99 | 0.99 | 0.99 | 150|
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|21| Interlingua | 0.96 | 0.97 | 0.96 | 182|
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|22| Italian | 0.99 | 0.94 | 0.96 | 100|
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|23| Japanese | 1.00 | 1.00 | 1.00 | 144|
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|24| Kabyle | 1.00 | 0.96 | 0.98 | 156|
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|25| Kinyarwanda | 0.97 | 1.00 | 0.99 | 103|
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|26| Kyrgyz | 0.98 | 1.00 | 0.99 | 129|
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|27| Latvian | 0.98 | 0.98 | 0.98 | 171|
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|28| Maltese | 0.99 | 0.98 | 0.98 | 152|
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|29| Mongolian | 1.00 | 1.00 | 1.00 | 112|
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|30| Persian | 1.00 | 1.00 | 1.00 | 123|
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|31| Polish | 0.91 | 0.99 | 0.95 | 128|
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|32| Portuguese | 0.94 | 0.99 | 0.96 | 124|
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|33| Romanian | 1.00 | 1.00 | 1.00 | 152|
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|34|Romansh_Sursilvan | 0.99 | 0.95 | 0.97 | 106|
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|35| Russian | 0.99 | 0.99 | 0.99 | 100|
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|36| Sakha | 0.99 | 1.00 | 1.00 | 105|
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|37| Slovenian | 0.99 | 1.00 | 1.00 | 166|
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|38| Spanish | 0.96 | 0.95 | 0.95 | 94|
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|39| Swedish | 0.99 | 1.00 | 0.99 | 190|
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|40| Tamil | 1.00 | 1.00 | 1.00 | 135|
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|41| Tatar | 1.00 | 0.96 | 0.98 | 173|
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|42| Turkish | 1.00 | 1.00 | 1.00 | 137|
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|43| Ukranian | 0.99 | 1.00 | 1.00 | 126|
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|44| Welsh | 0.98 | 1.00 | 0.99 | 103|
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|| *macro avg* | 0.98 | 0.99 | 0.98 | 5963|
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|| *weighted avg* | 0.98 | 0.98 | 0.98 | 5963|
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|| *overall accuracy* | | | 0.9837 | 5963|
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