René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Mixed feature accuracy table","articleBody":"NewsGroup (table for single real feature)\r\n\r\n| Condition\\Algorithm          | SparseAveragedPerceptron | SparseWinnow | PassiveAggresive | SparseConfidenceWeighted | BinaryMIRA |\r\n|------------------------------|--------------------------|--------------|------------------|--------------------------|------------|\r\n| 1 round w/o real features    | 48.916                   | 92.597       | 19.038           |                          | 33.739     |\r\n| 1 round w/ real features     | 47.753                   | 92.491       | 23.268           |                          | 32.364     |\r\n| 10 rounds w/o real features  | 82.390                   | 91.539       | 24.802           |                          | 76.891     |\r\n| 10 rounds w/ real features   | 82.126                   | 91.529       | 12.427           |                          | 75.939     |\r\n| 50 rounds w/o real features  | 84.823                   | 91.592       | 14.120           |                          | 77.208     |\r\n| 50 rounds w/ real features   | 85.299                   | 91.433       | 19.566           |                          | 76.891     |\r\n| 100 rounds w/o real features | 85.828                   | 91.433       | 12.956           |                          | 76.574     |\r\n| 100 rounds w real features   | 84.770                   | 91.486       | 15.442           |                          | 61.026     |\r\n\r\nNewsGroup (table for the same amount of Gaussian random real features as discrete ones)\r\n\r\n| Condition\\Algorithm          | SparseAveragedPerceptron | SparseWinnow | PassiveAggresive | BinaryMIRA |\r\n|------------------------------|--------------------------|--------------|------------------|------------|\r\n| 1 round w/o real features    | 51.454                   | 92.597       | 12.057           | 33.739     |\r\n| 1 round w/ real features     | 17.980                   | 6.081        | 14.913           | 14.225     |\r\n| 10 rounds w/o real features  | 82.813                   | 91.539       | 22.369           | 76.891     |\r\n| 10 rounds w/ real features   | 52.829                   |              | 42.517           | 45.743     |\r\n| 50 rounds w/o real features  | 84.294                   | 91.592       | 21.100           | 77.208     |\r\n| 50 rounds w/ real features   | 75.727                   |              | 67.054           | 75.198     |\r\n| 100 rounds w/o real features | 85.506                   | 91.433       | 17.768           | 76.574     |\r\n| 100 rounds w real features   | 77.631                   |              | 74.828           | 74.194     |\r\n\r\nBadges (table for single real feature)\r\n\r\n| Condition\\Algorithm          | SparsePerceptron | SparseWinnow | NaiveBayes |\r\n|------------------------------|------------------|--------------|------------|\r\n| 1 round w/o real features    | 100.0            | 95.745       | 100.0      |\r\n| 1 round w/ real features     | 100.0            | 95.745       | 100.0      |\r\n| 10 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 10 rounds w/ real features   | 100.0            | 100.0        | 100.0      |\r\n| 50 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 50 rounds w/ real features   | 100.0            | 100.0        | 100.0      |\r\n| 100 rounds w/o real features | 100.0            | 100.0        | 100.0      |\r\n| 100 rounds w real features   | 100.0            | 100.0        | 100.0      |\r\n\r\nBadges (table for same amount of constant real features as discrete features)\r\n\r\n| Condition\\Algorithm          | SparsePerceptron | SparseWinnow | NaiveBayes |\r\n|------------------------------|------------------|--------------|------------|\r\n| 1 round w/o real features    | 100.0            | 95.745       | 100.0      |\r\n| 1 round w/ real features     | 74.468           | 100.0        | 100.0      |\r\n| 10 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 10 rounds w/ real features   | 78.723           | 100.0        | 100.0      |\r\n| 50 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 50 rounds w/ real features   | 100.0            | 100.0        | 100.0      |\r\n| 100 rounds w/o real features | 100.0            | 100.0        | 100.0      |\r\n| 100 rounds w real features   | 100.0            | 100.0        | 100.0      |\r\n\r\nBadges (table for same amount of of random Gaussian real features as discrete features)\r\n\r\n | Condition\\Algorithm          | SparsePerceptron | SparseWinnow | NaiveBayes |\r\n|------------------------------|------------------|--------------|------------|\r\n| 1 round w/o real features    | 100.0            | 95.745       | 100.0      |\r\n| 1 round w/ real features     | 55.319           | 56.383       | 100.0      |\r\n| 10 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 10 rounds w/ real features   | 62.766           | 100.0        | 100.0      |\r\n| 50 rounds w/o real features  | 100.0            | 100.0        | 100.0      |\r\n| 50 rounds w/ real features   | 74.468           | 87.234       | 100.0      |\r\n| 100 rounds w/o real features | 100.0            | 100.0        | 100.0      |\r\n| 100 rounds w real features   | 86.170           | 100.0        | 100.0      |","author":{"url":"https://github.com/Slash0BZ","@type":"Person","name":"Slash0BZ"},"datePublished":"2017-02-13T03:22:20.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/101/lbjava/issues/101"}