Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3888 Supervised Classification grub-damage 645 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7701, kappa: 0.4744, kb_relative_information_score: 61.6688, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7734, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7352, kappa: 0.3758, kb_relative_information_score: 46.8572, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7327, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7284, kappa: 0.3535, kb_relative_information_score: 42.7034, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7287, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7736, kappa: 0.4749, kb_relative_information_score: 56.2742, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.773, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.7174, kappa: 0.3291, kb_relative_information_score: 29.6551, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7154, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7477, kappa: 0.4149, kb_relative_information_score: 33.2472, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.747, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.452, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7305, kappa: 0.3801, kb_relative_information_score: 48.1495, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7321, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7375, kappa: 0.3981, kb_relative_information_score: 48.6628, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7401, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7445, kappa: 0.4017, kb_relative_information_score: 45.7286, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7423, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.6921, kappa: 0.2789, kb_relative_information_score: 30.2091, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6889, predictive_accuracy: 0.6968, prior_entropy: 0.9027, recall: 0.6968, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 62.4085, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7408, kappa: 0.3878, kb_relative_information_score: 37.9186, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7387, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8143, kappa: 0.5743, kb_relative_information_score: 60.4925, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.8164, predictive_accuracy: 0.8129, prior_entropy: 0.9027, recall: 0.8129, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7347, kappa: 0.3849, kb_relative_information_score: 47.1582, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7341, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.777, kappa: 0.4698, kb_relative_information_score: 38.7976, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.78, predictive_accuracy: 0.7871, prior_entropy: 0.9027, recall: 0.7871, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7201, kappa: 0.3301, kb_relative_information_score: 27.0225, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7563, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4793, f_measure: 0.5555, kb_relative_information_score: -0.219, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7865, kappa: 0.5049, kb_relative_information_score: 46.9126, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.786, predictive_accuracy: 0.7871, prior_entropy: 0.9027, recall: 0.7871, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.778, kappa: 0.4813, kb_relative_information_score: 44.5592, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7765, predictive_accuracy: 0.7806, prior_entropy: 0.9027, recall: 0.7806, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7534, kappa: 0.4267, kb_relative_information_score: 36.1879, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7523, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7779, kappa: 0.4971, kb_relative_information_score: 61.9051, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7507, kappa: 0.404, kb_relative_information_score: 39.7915, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7593, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.425, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 61.8384, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7145, kappa: 0.3362, kb_relative_information_score: 41.6726, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7131, predictive_accuracy: 0.7161, prior_entropy: 0.9027, recall: 0.7161, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7239, kappa: 0.352, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7211, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7507, kappa: 0.404, kb_relative_information_score: 39.7915, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7593, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.425, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7748, kappa: 0.4806, kb_relative_information_score: 59.0148, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7755, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7119, kappa: 0.3172, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7091, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6822, kappa: 0.2509, kb_relative_information_score: 28.8883, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6778, predictive_accuracy: 0.6903, prior_entropy: 0.9027, recall: 0.6903, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7946, kappa: 0.5277, kb_relative_information_score: 62.1859, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.7935, prior_entropy: 0.9027, recall: 0.7935, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.7275, kappa: 0.3565, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7249, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7121, kappa: 0.313, kb_relative_information_score: 27.9342, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7129, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7573, kappa: 0.4452, kb_relative_information_score: 41.8337, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7608, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7119, kappa: 0.3394, kb_relative_information_score: 44.6936, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7147, predictive_accuracy: 0.7097, prior_entropy: 0.9027, recall: 0.7097, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7779, kappa: 0.4971, kb_relative_information_score: 61.9051, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8998, scimark_benchmark: 1206.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7239, kappa: 0.352, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7211, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195, scimark_benchmark: 1251.2191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.7405, kappa: 0.3965, kb_relative_information_score: 47.1495, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7392, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9972, scimark_benchmark: 1262.61, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.6469, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9556, scimark_benchmark: 1097.484, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 1347.2424, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7541, kappa: 0.4192, kb_relative_information_score: 42.9318, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7526, predictive_accuracy: 0.7613, prior_entropy: 0.9027, recall: 0.7613, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9174, scimark_benchmark: 1198.7107, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.742, kappa: 0.3858, kb_relative_information_score: 35.6999, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7434, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.959, scimark_benchmark: 921.5943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7233, kappa: 0.3619, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7241, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.632, kappa: 0.118, kb_relative_information_score: 9.3217, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6304, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.99, scimark_benchmark: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7701, kappa: 0.4744, kb_relative_information_score: 61.6688, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7734, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8978, scimark_benchmark: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.729, kappa: 0.3733, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7233, kappa: 0.3619, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7241, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6349, kappa: 0.1278, kb_relative_information_score: 9.9679, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6276, predictive_accuracy: 0.6581, prior_entropy: 0.9027, recall: 0.6581, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0134, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6487, kappa: 0.1607, kb_relative_information_score: 10.4253, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.643, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9995, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 59.4621, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.874, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7701, kappa: 0.4744, kb_relative_information_score: 61.6688, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7734, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8978, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 59.862, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8761, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7779, kappa: 0.4971, kb_relative_information_score: 61.9051, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8998, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 59.862, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8761, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.723, kappa: 0.3377, kb_relative_information_score: 30.4066, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7279, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9538, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7507, kappa: 0.404, kb_relative_information_score: 39.7915, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7593, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.425, root_relative_squared_error: 0.914, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7108, kappa: 0.3211, kb_relative_information_score: 31.9975, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7077, predictive_accuracy: 0.7161, prior_entropy: 0.9027, recall: 0.7161, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9801, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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