OpenML
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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8975, kappa: 0.7926, kb_relative_information_score: 9989.412, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8978, predictive_accuracy: 0.8977, prior_entropy: 0.9924, recall: 0.8977, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9018, kappa: 0.8011, kb_relative_information_score: 8733.3144, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9021, prior_entropy: 0.9924, recall: 0.9021, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.292, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8959, kappa: 0.7892, kb_relative_information_score: 8622.3964, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8968, predictive_accuracy: 0.8963, prior_entropy: 0.9924, recall: 0.8963, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9072, kappa: 0.8121, kb_relative_information_score: 9060.1553, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9078, predictive_accuracy: 0.9075, prior_entropy: 0.9924, recall: 0.9075, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.284, root_relative_squared_error: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8946, kappa: 0.7865, kb_relative_information_score: 7516.6808, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8963, predictive_accuracy: 0.8951, prior_entropy: 0.9924, recall: 0.8951, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9288, kappa: 0.856, kb_relative_information_score: 10505.5914, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9292, predictive_accuracy: 0.929, prior_entropy: 0.9924, recall: 0.929, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9162, kappa: 0.8304, kb_relative_information_score: 9579.5749, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9167, predictive_accuracy: 0.9164, prior_entropy: 0.9924, recall: 0.9164, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8993, kappa: 0.7961, kb_relative_information_score: 8078.4526, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9006, predictive_accuracy: 0.8997, prior_entropy: 0.9924, recall: 0.8997, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9212, kappa: 0.8405, kb_relative_information_score: 8216.6555, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9227, predictive_accuracy: 0.9216, prior_entropy: 0.9924, recall: 0.9216, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8711, kappa: 0.7389, kb_relative_information_score: 6148.6821, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8748, predictive_accuracy: 0.8722, prior_entropy: 0.9924, recall: 0.8722, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8585, kappa: 0.7132, kb_relative_information_score: 5694.5378, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8599, prior_entropy: 0.9924, recall: 0.8599, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9316, kappa: 0.8615, kb_relative_information_score: 9570.3149, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.932, predictive_accuracy: 0.9317, prior_entropy: 0.9924, recall: 0.9317, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9328, kappa: 0.864, kb_relative_information_score: 10378.6736, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9331, predictive_accuracy: 0.9329, prior_entropy: 0.9924, recall: 0.9329, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8969, kappa: 0.791, kb_relative_information_score: 7154.9187, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8993, predictive_accuracy: 0.8975, prior_entropy: 0.9924, recall: 0.8975, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8827, kappa: 0.7623, kb_relative_information_score: 7563.8747, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8842, predictive_accuracy: 0.8832, prior_entropy: 0.9924, recall: 0.8832, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6564, kappa: 0.3039, kb_relative_information_score: 2455.0219, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6581, predictive_accuracy: 0.6601, prior_entropy: 0.9924, recall: 0.6601, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9026, kappa: 0.8026, kb_relative_information_score: 7386.6774, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9048, predictive_accuracy: 0.9031, prior_entropy: 0.9924, recall: 0.9031, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.921, kappa: 0.84, kb_relative_information_score: 9466.7551, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9215, predictive_accuracy: 0.9212, prior_entropy: 0.9924, recall: 0.9212, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9237, kappa: 0.8455, kb_relative_information_score: 9619.8142, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9241, predictive_accuracy: 0.9238, prior_entropy: 0.9924, recall: 0.9238, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9158, kappa: 0.8295, kb_relative_information_score: 8953.6038, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9165, predictive_accuracy: 0.916, prior_entropy: 0.9924, recall: 0.916, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8797, kappa: 0.7563, kb_relative_information_score: 7411.8873, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8813, predictive_accuracy: 0.8803, prior_entropy: 0.9924, recall: 0.8803, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8996, kappa: 0.7966, kb_relative_information_score: 8835.6649, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9003, predictive_accuracy: 0.8999, prior_entropy: 0.9924, recall: 0.8999, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8855, kappa: 0.7679, kb_relative_information_score: 7198.5771, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.888, predictive_accuracy: 0.8862, prior_entropy: 0.9924, recall: 0.8862, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9271, kappa: 0.8524, kb_relative_information_score: 9293.4224, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9277, predictive_accuracy: 0.9273, prior_entropy: 0.9924, recall: 0.9273, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9239, kappa: 0.8458, kb_relative_information_score: 9826.1562, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9244, predictive_accuracy: 0.924, prior_entropy: 0.9924, recall: 0.924, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9195, kappa: 0.837, kb_relative_information_score: 9491.8611, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9199, predictive_accuracy: 0.9196, prior_entropy: 0.9924, recall: 0.9196, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9106, kappa: 0.8191, kb_relative_information_score: 9211.5724, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9112, predictive_accuracy: 0.9109, prior_entropy: 0.9924, recall: 0.9109, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -73.6821, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8908, kappa: 0.7789, kb_relative_information_score: 9496.6547, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8912, predictive_accuracy: 0.8911, prior_entropy: 0.9924, recall: 0.8911, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8801, kappa: 0.7571, kb_relative_information_score: 7496.3985, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.8807, prior_entropy: 0.9924, recall: 0.8807, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9256, kappa: 0.8494, kb_relative_information_score: 9386.6072, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9263, predictive_accuracy: 0.9258, prior_entropy: 0.9924, recall: 0.9258, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9141, kappa: 0.8261, kb_relative_information_score: 9203.6651, mean_absolute_error: 0.2121, 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: 0.4286, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8693, kappa: 0.7352, kb_relative_information_score: 6172.6145, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8732, predictive_accuracy: 0.8704, prior_entropy: 0.9924, recall: 0.8704, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.894, kappa: 0.7853, kb_relative_information_score: 8523.5304, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8948, predictive_accuracy: 0.8943, prior_entropy: 0.9924, recall: 0.8943, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8809, kappa: 0.7587, kb_relative_information_score: 6576.4761, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8841, predictive_accuracy: 0.8818, prior_entropy: 0.9924, recall: 0.8818, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8843, kappa: 0.7656, kb_relative_information_score: 8252.3487, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8853, predictive_accuracy: 0.8847, prior_entropy: 0.9924, recall: 0.8847, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9084, kappa: 0.8144, kb_relative_information_score: 8749.104, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9093, predictive_accuracy: 0.9087, prior_entropy: 0.9924, recall: 0.9087, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9232, kappa: 0.8446, kb_relative_information_score: 9338.1462, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9238, predictive_accuracy: 0.9234, prior_entropy: 0.9924, recall: 0.9234, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9113, kappa: 0.8205, kb_relative_information_score: 9368.7966, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9119, predictive_accuracy: 0.9115, prior_entropy: 0.9924, recall: 0.9115, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9077, kappa: 0.8132, kb_relative_information_score: 9505.5039, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9081, predictive_accuracy: 0.9079, prior_entropy: 0.9924, recall: 0.9079, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6884, kappa: 0.3702, kb_relative_information_score: 2855.7896, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6884, predictive_accuracy: 0.6885, prior_entropy: 0.9924, recall: 0.6885, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6584, kappa: 0.3077, kb_relative_information_score: 1655.2459, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6592, predictive_accuracy: 0.6611, prior_entropy: 0.9924, recall: 0.6611, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.7204, 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: 1.0008, 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: -60.7966, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -7.965, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0003, 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: 0.4985, f_measure: 0.5102, kappa: 0.0355, kb_relative_information_score: -320.5348, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5238, predictive_accuracy: 0.5111, prior_entropy: 0.9924, recall: 0.5111, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3785,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -47.5993, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -16.0999, 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: 0.5, kb_relative_information_score: 309.1504, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 8.0037, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9996, 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: 23.9717, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9988, 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: 0.5, kb_relative_information_score: 20.3513, mean_absolute_error: 0.4942, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6774, kappa: 0.3467, kb_relative_information_score: 2916.7618, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6772, predictive_accuracy: 0.6784, prior_entropy: 0.9924, recall: 0.6784, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.524, kappa: 0.0647, kb_relative_information_score: 436.4891, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5393, predictive_accuracy: 0.5253, prior_entropy: 0.9924, recall: 0.5253, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.3205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7126, kappa: 0.4184, kb_relative_information_score: 2248.2567, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7187, predictive_accuracy: 0.7173, prior_entropy: 0.9924, recall: 0.7173, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.4868, 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: 0.7032, f_measure: 0.646, kappa: 0.2826, kb_relative_information_score: 1917.1609, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6469, predictive_accuracy: 0.6492, prior_entropy: 0.9924, recall: 0.6492, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.466, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -7.3938, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0003, 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: 0.6258, f_measure: 0.5684, kappa: 0.1443, kb_relative_information_score: 531.9536, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5905, predictive_accuracy: 0.5935, prior_entropy: 0.9924, recall: 0.5935, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9822,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6798, kappa: 0.3518, kb_relative_information_score: 4010.0758, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6795, predictive_accuracy: 0.6804, prior_entropy: 0.9924, recall: 0.6804, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.8291, mean_absolute_error: 0.4948, 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: 0.7832, f_measure: 0.715, kappa: 0.423, kb_relative_information_score: 3681.148, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7148, predictive_accuracy: 0.7156, prior_entropy: 0.9924, recall: 0.7156, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.5809, kappa: 0.164, kb_relative_information_score: 1040.0912, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5982, predictive_accuracy: 0.6009, prior_entropy: 0.9924, recall: 0.6009, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9639,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.6005, 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: 1.001, 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: -0.5299, mean_absolute_error: 0.4948, 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: 0.6688, f_measure: 0.6217, kappa: 0.2368, kb_relative_information_score: 2569.6439, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6225, predictive_accuracy: 0.6212, prior_entropy: 0.9924, recall: 0.6212, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.67, kappa: 0.3315, kb_relative_information_score: 2089.343, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.67, predictive_accuracy: 0.6716, prior_entropy: 0.9924, recall: 0.6716, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -64.9864, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6238, kappa: 0.2382, kb_relative_information_score: 1684.6652, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6259, predictive_accuracy: 0.6289, prior_entropy: 0.9924, recall: 0.6289, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -8.1618, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0003, 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: 0.6899, f_measure: 0.6209, kappa: 0.2409, kb_relative_information_score: 1330.6912, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6385, predictive_accuracy: 0.6365, prior_entropy: 0.9924, recall: 0.6365, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8742, kappa: 0.7457, kb_relative_information_score: 10254.7182, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8742, predictive_accuracy: 0.8742, prior_entropy: 0.9924, recall: 0.8742, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7435, kappa: 0.4802, kb_relative_information_score: 3810.5393, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7443, predictive_accuracy: 0.7449, prior_entropy: 0.9924, recall: 0.7449, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8515,

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