OpenML
Supervised Classification on pollution

Supervised Classification on pollution

Task 4451 Supervised Classification pollution 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.75, kappa: 0.4997, kb_relative_information_score: 275.945, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8977, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7967, kappa: 0.5932, kb_relative_information_score: 326.9655, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7969, predictive_accuracy: 0.7967, prior_entropy: 0.9992, recall: 0.7967, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.793, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7349, kappa: 0.4833, kb_relative_information_score: 274.9767, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7782, predictive_accuracy: 0.745, prior_entropy: 0.9992, recall: 0.745, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9113, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.6826, kappa: 0.3645, kb_relative_information_score: 224.881, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6834, predictive_accuracy: 0.6833, prior_entropy: 0.9992, recall: 0.6833, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9991, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 1345.7919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8001, kappa: 0.5999, kb_relative_information_score: 319.656, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8191, scimark_benchmark: 1337.1928, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 1330.8787, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8001, kappa: 0.5999, kb_relative_information_score: 319.656, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8191, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7531, kappa: 0.5078, kb_relative_information_score: 305.5558, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7567, predictive_accuracy: 0.7533, prior_entropy: 0.9992, recall: 0.7533, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9337, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.6881, kappa: 0.378, kb_relative_information_score: 227.9436, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6911, predictive_accuracy: 0.6883, prior_entropy: 0.9992, recall: 0.6883, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0513, scimark_benchmark: 1342.6911, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7134, kappa: 0.4263, kb_relative_information_score: 248.7932, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7135, predictive_accuracy: 0.7133, prior_entropy: 0.9992, recall: 0.7133, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0527, scimark_benchmark: 1357.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7532, kappa: 0.5077, kb_relative_information_score: 298.8231, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7563, predictive_accuracy: 0.7533, prior_entropy: 0.9992, recall: 0.7533, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9684, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7634, kappa: 0.5265, kb_relative_information_score: 214.2043, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7636, predictive_accuracy: 0.7633, prior_entropy: 0.9992, recall: 0.7633, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7802, scimark_benchmark: 1292.1375, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7434, kappa: 0.4867, kb_relative_information_score: 187.9126, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7439, predictive_accuracy: 0.7433, prior_entropy: 0.9992, recall: 0.7433, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7967, scimark_benchmark: 932.5646, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6653, kappa: 0.3452, kb_relative_information_score: 145.3248, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6867, predictive_accuracy: 0.67, prior_entropy: 0.9992, recall: 0.67, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9622, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6896, kappa: 0.3783, kb_relative_information_score: 221.8846, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9992, recall: 0.69, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0769, scimark_benchmark: 912.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7517, kappa: 0.5029, kb_relative_information_score: 210.6231, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7518, predictive_accuracy: 0.7517, prior_entropy: 0.9992, recall: 0.7517, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7887, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7517, kappa: 0.5035, kb_relative_information_score: 207.1059, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7525, predictive_accuracy: 0.7517, prior_entropy: 0.9992, recall: 0.7517, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8022, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7017, kappa: 0.403, kb_relative_information_score: 222.9823, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7019, predictive_accuracy: 0.7017, prior_entropy: 0.9992, recall: 0.7017, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0422, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7482, kappa: 0.4975, kb_relative_information_score: 299.7056, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7508, predictive_accuracy: 0.7483, prior_entropy: 0.9992, recall: 0.7483, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9762, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7666, kappa: 0.534, kb_relative_information_score: 318.8198, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7687, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9241, scimark_benchmark: 1337.7959, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 328.6906, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7794, predictive_accuracy: 0.7783, prior_entropy: 0.9992, recall: 0.7783, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8746, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.79, kappa: 0.5796, kb_relative_information_score: 333.0104, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 0.9992, recall: 0.79, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8352, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7701, kappa: 0.5402, kb_relative_information_score: 305.1376, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7709, predictive_accuracy: 0.77, prior_entropy: 0.9992, recall: 0.77, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.854, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7859, kappa: 0.5751, kb_relative_information_score: 253.7101, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7953, predictive_accuracy: 0.7867, prior_entropy: 0.9992, recall: 0.7867, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7821, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7226, kappa: 0.4486, kb_relative_information_score: 230.8264, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7291, predictive_accuracy: 0.7233, prior_entropy: 0.9992, recall: 0.7233, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7182, kappa: 0.4357, kb_relative_information_score: 261.462, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7182, predictive_accuracy: 0.7183, prior_entropy: 0.9992, recall: 0.7183, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.062, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.403, kappa: 0.0046, kb_relative_information_score: 19.0983, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.5092, predictive_accuracy: 0.5167, prior_entropy: 0.9992, recall: 0.5167, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.3912, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8194, kappa: 0.6414, kb_relative_information_score: 383.6453, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8286, predictive_accuracy: 0.82, prior_entropy: 0.9992, recall: 0.82, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.849, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8248, kappa: 0.6509, kb_relative_information_score: 266.1371, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8296, predictive_accuracy: 0.825, prior_entropy: 0.9992, recall: 0.825, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7717, scimark_benchmark: 942.2229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.6779, kappa: 0.3584, kb_relative_information_score: 213.3898, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.682, predictive_accuracy: 0.6783, prior_entropy: 0.9992, recall: 0.6783, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.1349, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 302.645, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7861, predictive_accuracy: 0.785, prior_entropy: 0.9992, recall: 0.785, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7254, scimark_benchmark: 926.6704, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7167, kappa: 0.433, kb_relative_information_score: 259.459, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7168, predictive_accuracy: 0.7167, prior_entropy: 0.9992, recall: 0.7167, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0652, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.68, kappa: 0.3609, kb_relative_information_score: 172.9204, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6818, predictive_accuracy: 0.68, prior_entropy: 0.9992, recall: 0.68, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9773, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6717, kappa: 0.343, kb_relative_information_score: 173.8471, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6719, predictive_accuracy: 0.6717, prior_entropy: 0.9992, recall: 0.6717, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0389, scimark_benchmark: 1308.9788,

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