OpenML
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 4444 Supervised Classification analcatdata_chlamydia 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 1286.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 1371.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 1363.7016, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 1360.9406, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9125, kappa: 0.7113, kb_relative_information_score: 477.2899, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9118, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6829, scimark_benchmark: 1329.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7729, kappa: 0.1836, kb_relative_information_score: 162.7765, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.813, prior_entropy: 0.714, recall: 0.813, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8641, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.725, kb_relative_information_score: 147.4062, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8537, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.7204, kappa: -0.0163, kb_relative_information_score: -110.3021, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.68, predictive_accuracy: 0.788, prior_entropy: 0.714, recall: 0.788, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0323, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.86, kappa: 0.5386, kb_relative_information_score: 467.526, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8584, predictive_accuracy: 0.862, prior_entropy: 0.714, recall: 0.862, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9468, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8156, kappa: 0.343, kb_relative_information_score: 159.1678, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8268, predictive_accuracy: 0.843, prior_entropy: 0.714, recall: 0.843, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8484, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.725, kb_relative_information_score: 38.2808, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9443, scimark_benchmark: 1261.7298, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9131, kappa: 0.7116, kb_relative_information_score: 526.0094, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9124, predictive_accuracy: 0.915, prior_entropy: 0.714, recall: 0.915, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6347, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.8434, kappa: 0.4404, kb_relative_information_score: 377.7833, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.868, prior_entropy: 0.714, recall: 0.868, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8533, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9125, kappa: 0.7113, kb_relative_information_score: 477.2899, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9118, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6829, scimark_benchmark: 1334.4761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8022, kappa: 0.3015, kb_relative_information_score: 167.2043, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8018, predictive_accuracy: 0.827, prior_entropy: 0.714, recall: 0.827, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.334, root_relative_squared_error: 0.8512, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7729, kappa: 0.1836, kb_relative_information_score: 162.7765, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.813, prior_entropy: 0.714, recall: 0.813, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8641, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.922, kappa: 0.7405, kb_relative_information_score: 636.3772, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9217, predictive_accuracy: 0.924, prior_entropy: 0.714, recall: 0.924, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.227, root_relative_squared_error: 0.5785, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9218, kappa: 0.7367, kb_relative_information_score: 566.9682, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9229, predictive_accuracy: 0.925, prior_entropy: 0.714, recall: 0.925, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.6124, scimark_benchmark: 915.9693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8862, kappa: 0.6039, kb_relative_information_score: 440.1274, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.897, prior_entropy: 0.714, recall: 0.897, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7066, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8619, kappa: 0.5155, kb_relative_information_score: 319.2569, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.877, prior_entropy: 0.714, recall: 0.877, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7839, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7851, kappa: 0.222, kb_relative_information_score: 229.4928, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.813, predictive_accuracy: 0.83, prior_entropy: 0.714, recall: 0.83, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.8764, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7546, kappa: 0.1063, kb_relative_information_score: 164.9883, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8547, predictive_accuracy: 0.823, prior_entropy: 0.714, recall: 0.823, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.326, root_relative_squared_error: 0.8308, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7546, kappa: 0.1063, kb_relative_information_score: 164.9883, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8547, predictive_accuracy: 0.823, prior_entropy: 0.714, recall: 0.823, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.326, root_relative_squared_error: 0.8308, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7539, kappa: 0.2607, kb_relative_information_score: 8.3754, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.739, prior_entropy: 0.714, recall: 0.739, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.3021, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8677, kappa: 0.5964, kb_relative_information_score: 463.7931, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8813, predictive_accuracy: 0.861, prior_entropy: 0.714, recall: 0.861, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9502, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.8916, kappa: 0.6463, kb_relative_information_score: 579.514, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8912, predictive_accuracy: 0.892, prior_entropy: 0.714, recall: 0.892, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.8376, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9131, kappa: 0.7116, kb_relative_information_score: 525.4163, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9124, predictive_accuracy: 0.915, prior_entropy: 0.714, recall: 0.915, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6347, scimark_benchmark: 915.6729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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