Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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97291 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.4363, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.6927, kappa: 0.378, kb_relative_information_score: 3151.2053, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6924, predictive_accuracy: 0.6933, prior_entropy: 0.9924, recall: 0.6933, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5198, kappa: 0.105, kb_relative_information_score: 630.7714, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6028, predictive_accuracy: 0.5862, prior_entropy: 0.9924, recall: 0.5862, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -22.4074, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6383, kappa: 0.2671, kb_relative_information_score: 2084.8542, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6394, predictive_accuracy: 0.6419, prior_entropy: 0.9924, recall: 0.6419, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8082, kappa: 0.6118, kb_relative_information_score: 6648.2194, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8082, predictive_accuracy: 0.8085, prior_entropy: 0.9924, recall: 0.8085, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7458, kappa: 0.4862, kb_relative_information_score: 5216.8829, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7458, predictive_accuracy: 0.7457, prior_entropy: 0.9924, recall: 0.7457, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7611, kappa: 0.5164, kb_relative_information_score: 5209.8291, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7611, predictive_accuracy: 0.7617, prior_entropy: 0.9924, recall: 0.7617, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.589, kappa: 0.1705, kb_relative_information_score: 1541.6078, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5943, predictive_accuracy: 0.5991, prior_entropy: 0.9924, recall: 0.5991, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 4.239, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.6343, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8878, kappa: 0.7728, kb_relative_information_score: 8103.9306, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8891, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9036, kappa: 0.8047, kb_relative_information_score: 8546.7211, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9047, predictive_accuracy: 0.9039, prior_entropy: 0.9924, recall: 0.9039, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9016, kappa: 0.8007, kb_relative_information_score: 9133.3644, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9025, predictive_accuracy: 0.9019, prior_entropy: 0.9924, recall: 0.9019, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8817, kappa: 0.7604, kb_relative_information_score: 7603.8287, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8833, predictive_accuracy: 0.8823, prior_entropy: 0.9924, recall: 0.8823, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 6001.6573, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8709, predictive_accuracy: 0.8675, prior_entropy: 0.9924, recall: 0.8675, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9142, kappa: 0.8263, kb_relative_information_score: 7986.6033, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9924, recall: 0.9146, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9023, kappa: 0.8022, kb_relative_information_score: 8574.9078, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9032, predictive_accuracy: 0.9027, prior_entropy: 0.9924, recall: 0.9027, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9001, kappa: 0.7976, kb_relative_information_score: 8764.4898, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.9004, prior_entropy: 0.9924, recall: 0.9004, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.4625, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.188, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 36.4171, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -17.7764, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9187, kappa: 0.8353, kb_relative_information_score: 9407.2345, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9193, predictive_accuracy: 0.9189, prior_entropy: 0.9924, recall: 0.9189, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9141, kappa: 0.8261, kb_relative_information_score: 9039.5886, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9148, predictive_accuracy: 0.9144, prior_entropy: 0.9924, recall: 0.9144, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9259, kappa: 0.8499, kb_relative_information_score: 9413.7458, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9264, predictive_accuracy: 0.926, prior_entropy: 0.9924, recall: 0.926, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8801, kappa: 0.7572, kb_relative_information_score: 7244.8894, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.882, predictive_accuracy: 0.8808, prior_entropy: 0.9924, recall: 0.8808, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9247, kappa: 0.8475, kb_relative_information_score: 10125.2133, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9251, predictive_accuracy: 0.9248, prior_entropy: 0.9924, recall: 0.9248, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9068, kappa: 0.8111, kb_relative_information_score: 8042.3366, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9081, predictive_accuracy: 0.9071, prior_entropy: 0.9924, recall: 0.9071, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9033, kappa: 0.8043, kb_relative_information_score: 8882.1204, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9037, prior_entropy: 0.9924, recall: 0.9037, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9023, kappa: 0.8021, kb_relative_information_score: 9184.8105, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9025, prior_entropy: 0.9924, recall: 0.9025, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8812, kappa: 0.7595, kb_relative_information_score: 8733.8395, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 0.9924, recall: 0.8816, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9037, kappa: 0.805, kb_relative_information_score: 9541.0863, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9044, predictive_accuracy: 0.904, prior_entropy: 0.9924, recall: 0.904, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9342, kappa: 0.8669, kb_relative_information_score: 9884.4819, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9924, recall: 0.9344, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8875, kappa: 0.772, kb_relative_information_score: 6735.1919, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8905, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8983, kappa: 0.794, kb_relative_information_score: 8575.1322, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8993, predictive_accuracy: 0.8987, prior_entropy: 0.9924, recall: 0.8987, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9081, kappa: 0.814, kb_relative_information_score: 8885.2553, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9089, predictive_accuracy: 0.9084, prior_entropy: 0.9924, recall: 0.9084, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8891, kappa: 0.7753, kb_relative_information_score: 7786.4474, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8905, predictive_accuracy: 0.8896, prior_entropy: 0.9924, recall: 0.8896, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9074, kappa: 0.8126, kb_relative_information_score: 8827.4004, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9083, predictive_accuracy: 0.9077, prior_entropy: 0.9924, recall: 0.9077, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9358, kappa: 0.87, kb_relative_information_score: 9565.1335, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9363, predictive_accuracy: 0.9359, prior_entropy: 0.9924, recall: 0.9359, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8641, kappa: 0.7247, kb_relative_information_score: 6010.301, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.869, predictive_accuracy: 0.8654, prior_entropy: 0.9924, recall: 0.8654, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9001, kappa: 0.7976, kb_relative_information_score: 8618.456, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.9004, prior_entropy: 0.9924, recall: 0.9004, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1786.5909, mean_absolute_error: 0.5512, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, recall: 0.4488, relative_absolute_error: 1.1141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6147, kappa: 0.2212, kb_relative_information_score: 1667.8763, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6194, predictive_accuracy: 0.6226, prior_entropy: 0.9924, recall: 0.6226, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -50.9522, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1786.5909, mean_absolute_error: 0.5512, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, recall: 0.4488, relative_absolute_error: 1.1141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5793, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.9514, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -70.2752, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6448, kappa: 0.2826, kb_relative_information_score: 1899.7353, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6523, predictive_accuracy: 0.6529, prior_entropy: 0.9924, recall: 0.6529, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9209, kappa: 0.8399, kb_relative_information_score: 9981.2604, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9214, predictive_accuracy: 0.9211, prior_entropy: 0.9924, recall: 0.9211, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8998, kappa: 0.7971, kb_relative_information_score: 8890.6759, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9004, predictive_accuracy: 0.9001, prior_entropy: 0.9924, recall: 0.9001, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5837,

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