OpenML
Supervised Classification on strikes

Supervised Classification on strikes

Task 4341 Supervised Classification strikes 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1356.7468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9512, kappa: 0.9024, kb_relative_information_score: 5529.2109, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 1, recall: 0.9512, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4167, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9955, kappa: 0.991, kb_relative_information_score: 6171.4979, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 1, recall: 0.9955, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1335, scimark_benchmark: 1318.3027, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 1336.2908, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 1334.6623, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 1374.6852, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 1320.4391, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 1358.5804, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9741, kappa: 0.9482, kb_relative_information_score: 5370.1541, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 1, recall: 0.9741, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3204, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 1260.1387, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1280.6338, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9907, kb_relative_information_score: 4513.3853, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1, recall: 0.9954, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3836, scimark_benchmark: 1331.7205, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1295.0797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9394, kappa: 0.8787, kb_relative_information_score: 5249.1323, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4233, scimark_benchmark: 1318.6149, usercpu_time_millis: 1540, usercpu_time_millis_testing: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8997, kappa: 0.7994, kb_relative_information_score: 4995.8831, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.8997, predictive_accuracy: 0.8997, prior_entropy: 1, recall: 0.8997, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6335, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6244.5782, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.002, root_relative_squared_error: 0.0039, scimark_benchmark: 892.0148, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 5538.6177, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 1, recall: 0.9891, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2483, scimark_benchmark: 854.6529, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9603, kappa: 0.9206, kb_relative_information_score: 4743.9622, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9604, predictive_accuracy: 0.9603, prior_entropy: 1, recall: 0.9603, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.423, scimark_benchmark: 854.6529, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1284.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 5378.5617, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 1, recall: 0.9787, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3002, scimark_benchmark: 1347.388, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 6130.3183, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 1, recall: 0.9891, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1459, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9901, kb_relative_information_score: 4559.2972, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3764, scimark_benchmark: 1320.9366, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6226.5067, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0186, scimark_benchmark: 937.1527,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.537, kappa: 0.0754, kb_relative_information_score: 475.4684, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.5381, predictive_accuracy: 0.5381, prior_entropy: 1, recall: 0.5381, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6796, root_relative_squared_error: 1.3593, scimark_benchmark: 1310.6407, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.988, kappa: 0.976, kb_relative_information_score: 5748.5309, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 1, recall: 0.988, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2272, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 4938.8398, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9536, predictive_accuracy: 0.9533, prior_entropy: 1, recall: 0.9533, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4085, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9264, kappa: 0.8528, kb_relative_information_score: 4179.352, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9264, predictive_accuracy: 0.9264, prior_entropy: 1, recall: 0.9264, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.511, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8156, kappa: 0.6315, kb_relative_information_score: 3217.8236, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.8167, predictive_accuracy: 0.8157, prior_entropy: 1, recall: 0.8157, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.655, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8904, kappa: 0.7813, kb_relative_information_score: 4313.4664, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.8935, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.559, scimark_benchmark: 1363.454, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9299, kappa: 0.8599, kb_relative_information_score: 4968.905, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9302, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4742, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.6043, kappa: 0.2331, kb_relative_information_score: 1443.5572, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.6323, predictive_accuracy: 0.6155, prior_entropy: 1, recall: 0.6155, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6201, root_relative_squared_error: 1.2402, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 49.4293, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1331.6907, usercpu_time_millis: 340, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.6188, kappa: 0.2453, kb_relative_information_score: 1525.5647, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.6274, predictive_accuracy: 0.6221, prior_entropy: 1, recall: 0.6221, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2295, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6392, kappa: 0.2806, kb_relative_information_score: 1042.7996, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.6418, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1321.527, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.537, kappa: 0.0754, kb_relative_information_score: 475.4684, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.5381, predictive_accuracy: 0.5381, prior_entropy: 1, recall: 0.5381, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6796, root_relative_squared_error: 1.3593, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7013, kappa: 0.4127, kb_relative_information_score: 1579.2556, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7203, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8662, scimark_benchmark: 916.5769, usercpu_time_millis: 3290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 1318.5526, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9581, kappa: 0.9162, kb_relative_information_score: 5725.9501, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9581, predictive_accuracy: 0.9581, prior_entropy: 1, recall: 0.9581, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4095, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9576, kappa: 0.9152, kb_relative_information_score: 5539.7978, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 1, recall: 0.9576, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3852, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9653, kappa: 0.9305, kb_relative_information_score: 5689.4419, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 1, recall: 0.9653, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3654, scimark_benchmark: 1308.9788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8998, kappa: 0.7996, kb_relative_information_score: 4997.8833, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9002, predictive_accuracy: 0.8998, prior_entropy: 1, recall: 0.8998, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.633, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4291, f_measure: 0.376, kappa: -0.1424, kb_relative_information_score: -856.6538, mean_absolute_error: 0.5685, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.3907, predictive_accuracy: 0.4315, prior_entropy: 1, recall: 0.4315, relative_absolute_error: 1.137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.754, root_relative_squared_error: 1.508, scimark_benchmark: 905.1217, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9885, kappa: 0.977, kb_relative_information_score: 6094.6424, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 1, recall: 0.9885, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2109, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6249.9982, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9779, kappa: 0.9558, kb_relative_information_score: 5973.9728, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 1, recall: 0.9779, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2972, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs