OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, kappa: 0.526, kb_relative_information_score: 525.3162, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8113, prior_entropy: 1.2099, recall: 0.8113, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, kappa: 0.6492, kb_relative_information_score: 908.0707, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8461, prior_entropy: 1.2099, recall: 0.8461, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 59.657, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, kb_relative_information_score: 12.0113, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9681, kappa: 0.9302, kb_relative_information_score: 1561.0475, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9691, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -1.4201, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, kappa: 0.634, kb_relative_information_score: 838.0204, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 11.2311, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 34.3408, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3385, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, kappa: 0.1163, kb_relative_information_score: 397.4423, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.717, prior_entropy: 1.2099, recall: 0.717, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: -81.2373, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 50.5331, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 44.1887, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8808, kappa: 0.7762, kb_relative_information_score: 1138.8318, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8987, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.193, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, kappa: 0.3505, kb_relative_information_score: 483.438, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7523, prior_entropy: 1.2099, recall: 0.7523, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -95.1336, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.042, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8776, kappa: 0.7504, kb_relative_information_score: 1091.0812, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8852, predictive_accuracy: 0.886, prior_entropy: 1.2099, recall: 0.886, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -40.9011, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0216, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3385, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 11.4185, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 56.8106, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 19.4952, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, kb_relative_information_score: 27.0901, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, kappa: 0.1833, kb_relative_information_score: 396.3207, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7211, prior_entropy: 1.2099, recall: 0.7211, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 24.9498, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, kappa: 0.6398, kb_relative_information_score: 841.3906, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8455, prior_entropy: 1.2099, recall: 0.8455, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1704.3516, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1639.3014, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 32.1237, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -70.0212, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 23.0288, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.4461, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -151.4083, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.341, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -33.6301, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8873, kappa: 0.7601, kb_relative_information_score: 1200.3156, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9002, predictive_accuracy: 0.8825, prior_entropy: 1.2099, recall: 0.8825, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8592, kappa: 0.7246, kb_relative_information_score: 1065.3081, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8692, predictive_accuracy: 0.8767, prior_entropy: 1.2099, recall: 0.8767, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.3289, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8941, kappa: 0.7716, kb_relative_information_score: 1193.2595, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.892, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: -59.9708, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, kb_relative_information_score: 432.742, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, kappa: 0.577, kb_relative_information_score: 727.9366, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8061, prior_entropy: 1.2099, recall: 0.8061, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.9607, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 16.0182, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -34.9293, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 11.3694, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 8.0236, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8523, kappa: 0.6965, kb_relative_information_score: 1043.3334, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8627, predictive_accuracy: 0.864, prior_entropy: 1.2099, recall: 0.864, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, kappa: 0.2789, kb_relative_information_score: 263.3617, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7465, prior_entropy: 1.2099, recall: 0.7465, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 53.994, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -30.8883, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -136.0114, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0639, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3397, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -2.8833, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -13.0163, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, kappa: 0.4721, kb_relative_information_score: 595.7687, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7772, prior_entropy: 1.2099, recall: 0.7772, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -30.2267, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 10.2496, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, kb_relative_information_score: -172.4648, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0936, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3406, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, kappa: 0.4488, kb_relative_information_score: 542.9672, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7813, prior_entropy: 1.2099, recall: 0.7813, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: -20.0909, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 58.2132, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3385, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 62.4009, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.339, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, kappa: 0.5679, kb_relative_information_score: 800.8866, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8212, prior_entropy: 1.2099, recall: 0.8212, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, kb_relative_information_score: 110.7108, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 38.5549, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 35.3594, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9003, kappa: 0.7884, kb_relative_information_score: 1258.2003, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9089, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.6361, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -48.4949, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0218, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8016, kappa: 0.5745, kb_relative_information_score: 896.7226, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7964, predictive_accuracy: 0.8148, prior_entropy: 1.2099, recall: 0.8148, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, kb_relative_information_score: 228.5946, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0005, kb_relative_information_score: -1599.349, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.0376, prior_entropy: 1.2099, recall: 0.0376, relative_absolute_error: 2.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.6937, root_relative_squared_error: 2.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -84.9848, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0362, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -5.8308, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 13.6005, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, kappa: 0.5798, kb_relative_information_score: 749.4777, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8044, prior_entropy: 1.2099, recall: 0.8044, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, kappa: 0.4762, kb_relative_information_score: 692.9302, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7847, prior_entropy: 1.2099, recall: 0.7847, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 27.4647, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5828, kappa: 0.232, kb_relative_information_score: -168.2233, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7701, predictive_accuracy: 0.4884, prior_entropy: 1.2099, recall: 0.4884, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -24.3049, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -17.0733, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 48.9022, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3385, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 23.9158, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, kappa: 0.5871, kb_relative_information_score: 673.7163, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8218, prior_entropy: 1.2099, recall: 0.8218, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 15.5476, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, kb_relative_information_score: 148.3497, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: -42.1548, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 30.7951, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 42.6157, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3388, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.832, kappa: 0.6699, kb_relative_information_score: 957.8777, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8559, predictive_accuracy: 0.8547, prior_entropy: 1.2099, recall: 0.8547, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: 11.2316, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 16.7196, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, kappa: 0.5885, kb_relative_information_score: 628.3443, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8223, prior_entropy: 1.2099, recall: 0.8223, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: 31.818, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -1.4419, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -44.1861, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 55.3, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.905, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kappa: -0.0023, kb_relative_information_score: 103.9237, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6042, prior_entropy: 1.2099, recall: 0.6042, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -15.1413, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, kb_relative_information_score: 37.4157, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.997,

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

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From your own software

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

OpenML APIs