Task
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14954 Supervised Classification cylinder-bands 6644 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7676, kappa: 0.5211, kb_relative_information_score: 287.2541, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7793, predictive_accuracy: 0.7741, prior_entropy: 0.9826, recall: 0.7741, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7534, kappa: 0.4916, kb_relative_information_score: 270.6852, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7615, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7814, kappa: 0.5498, kb_relative_information_score: 288.7089, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7825, predictive_accuracy: 0.7833, prior_entropy: 0.9826, recall: 0.7833, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.6692, kappa: 0.3209, kb_relative_information_score: 154.4115, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6839, predictive_accuracy: 0.6833, prior_entropy: 0.9826, recall: 0.6833, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.6322, kappa: 0.2567, kb_relative_information_score: 130.9492, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6693, predictive_accuracy: 0.6611, prior_entropy: 0.9826, recall: 0.6611, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.809, kappa: 0.6063, kb_relative_information_score: 293.727, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8114, predictive_accuracy: 0.8111, prior_entropy: 0.9826, recall: 0.8111, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7462, kappa: 0.4768, kb_relative_information_score: 224.8213, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.7919, kappa: 0.5714, kb_relative_information_score: 298.2371, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8067, predictive_accuracy: 0.7981, prior_entropy: 0.9826, recall: 0.7981, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.4479, kappa: 0.0108, kb_relative_information_score: 28.1525, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5463, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7346, kappa: 0.4543, kb_relative_information_score: 146.8253, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.751, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.6239, kappa: 0.2346, kb_relative_information_score: 103.034, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6477, predictive_accuracy: 0.6481, prior_entropy: 0.9826, recall: 0.6481, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7268, kappa: 0.4367, kb_relative_information_score: 182.8014, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7302, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.4232, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7473, kappa: 0.4807, kb_relative_information_score: 235.3405, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.747, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.5932, kappa: 0.1641, kb_relative_information_score: 44.1377, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.599, predictive_accuracy: 0.6093, prior_entropy: 0.9826, recall: 0.6093, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6045, kappa: 0.2133, kb_relative_information_score: 48.8524, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6608, predictive_accuracy: 0.6463, prior_entropy: 0.9826, recall: 0.6463, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.6834, kappa: 0.3474, kb_relative_information_score: 189.9122, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6837, predictive_accuracy: 0.687, prior_entropy: 0.9826, recall: 0.687, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1326, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8163, kappa: 0.6213, kb_relative_information_score: 335.983, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8194, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.4232, kb_relative_information_score: 0.5936, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.4232, kb_relative_information_score: -0.0544, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6813, kappa: 0.3444, kb_relative_information_score: 165.2303, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6924, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6485, kappa: 0.2752, kb_relative_information_score: 104.5337, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6504, predictive_accuracy: 0.6556, prior_entropy: 0.9826, recall: 0.6556, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7126, kappa: 0.4168, kb_relative_information_score: 128.2798, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7174, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, f_measure: 0.5037, kappa: 0.0309, kb_relative_information_score: 34.2571, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5287, predictive_accuracy: 0.5037, prior_entropy: 0.9826, recall: 0.5037, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7346, kappa: 0.4533, kb_relative_information_score: 212.5475, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7352, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7951, kappa: 0.5776, kb_relative_information_score: 300.021, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8051, predictive_accuracy: 0.8, prior_entropy: 0.9826, recall: 0.8, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.6136, kappa: 0.2612, kb_relative_information_score: 86.8448, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7782, predictive_accuracy: 0.6759, prior_entropy: 0.9826, recall: 0.6759, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.7426, kappa: 0.4763, kb_relative_information_score: 141.7869, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7874, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7346, kappa: 0.455, kb_relative_information_score: 210.2758, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7342, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8072, kappa: 0.6025, kb_relative_information_score: 328.6762, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.815, predictive_accuracy: 0.8111, prior_entropy: 0.9826, recall: 0.8111, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7656, kappa: 0.5167, kb_relative_information_score: 181.7494, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7679, predictive_accuracy: 0.7685, prior_entropy: 0.9826, recall: 0.7685, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5329, kappa: 0.1298, kb_relative_information_score: 41.1013, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5926, predictive_accuracy: 0.5426, prior_entropy: 0.9826, recall: 0.5426, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.4379, kappa: 0.0128, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6169, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7578, kappa: 0.5006, kb_relative_information_score: 274.8275, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7645, predictive_accuracy: 0.763, prior_entropy: 0.9826, recall: 0.763, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7843, kappa: 0.5554, kb_relative_information_score: 301.7518, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9826, recall: 0.787, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.807, kappa: 0.6022, kb_relative_information_score: 326.6051, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8097, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7673, kappa: 0.5203, kb_relative_information_score: 283.1119, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7699, predictive_accuracy: 0.7704, prior_entropy: 0.9826, recall: 0.7704, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.568, kappa: 0.1731, kb_relative_information_score: 133.9923, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.686, predictive_accuracy: 0.637, prior_entropy: 0.9826, recall: 0.637, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,

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