OpenML
Supervised Data Stream Classification on BNG(tic-tac-toe)

Supervised Data Stream Classification on BNG(tic-tac-toe)

Task 2229 Supervised Data Stream Classification BNG(tic-tac-toe) 306 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11 study_16 under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7268, kappa: 0.4097, kb_relative_information_score: 17411.7749, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7349, predictive_accuracy: 0.7228, prior_entropy: 1, recall: 0.7228, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7288, kappa: 0.4127, kb_relative_information_score: 17594.0633, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7358, predictive_accuracy: 0.7252, prior_entropy: 1, recall: 0.7252, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7365, kappa: 0.4179, kb_relative_information_score: 15098.8497, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7362, predictive_accuracy: 0.7369, prior_entropy: 1, recall: 0.7369, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7037, kappa: 0.3311, kb_relative_information_score: 15925.0854, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7271, predictive_accuracy: 0.7306, prior_entropy: 1, recall: 0.7306, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7369, kappa: 0.4186, kb_relative_information_score: 15080.8429, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7365, predictive_accuracy: 0.7372, prior_entropy: 1, recall: 0.7372, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.6869, kappa: 0.3212, kb_relative_information_score: 13221.067, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.6937, predictive_accuracy: 0.6829, prior_entropy: 1, recall: 0.6829, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6298, kappa: 0.1855, kb_relative_information_score: 6668.5164, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7088, predictive_accuracy: 0.6954, prior_entropy: 1, recall: 0.6954, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.728, kappa: 0.3946, kb_relative_information_score: 15747.7852, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7263, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.5158, kappa: -0.0002, kb_relative_information_score: 2968.8279, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.4263, predictive_accuracy: 0.6528, prior_entropy: 1, recall: 0.6528, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6846, kappa: 0.3156, kb_relative_information_score: 14228, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.6911, predictive_accuracy: 0.6807, prior_entropy: 1, recall: 0.6807, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5651, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6708, kappa: 0.2615, kb_relative_information_score: 16642, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7097, predictive_accuracy: 0.7114, prior_entropy: 1, recall: 0.7114, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7321, kappa: 0.3983, kb_relative_information_score: 14019.515, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7317, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7347, kappa: 0.4119, kb_relative_information_score: 17840.2367, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7336, predictive_accuracy: 0.736, prior_entropy: 1, recall: 0.736, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.5219, kappa: 0.0021, kb_relative_information_score: 5885.4627, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.559, predictive_accuracy: 0.6503, prior_entropy: 1, recall: 0.6503, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7426, kappa: 0.4193, kb_relative_information_score: 13463.8135, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7474, predictive_accuracy: 0.7541, prior_entropy: 1, recall: 0.7541, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1789, kb_relative_information_score: -12038, mean_absolute_error: 0.6529, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.1205, predictive_accuracy: 0.3471, prior_entropy: 1, recall: 0.3471, relative_absolute_error: 1.3058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.808, root_relative_squared_error: 1.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7223, kappa: 0.3752, kb_relative_information_score: 12543.9024, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7225, predictive_accuracy: 0.7315, prior_entropy: 1, recall: 0.7315, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7085, kappa: 0.3473, kb_relative_information_score: 7591.0444, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7064, predictive_accuracy: 0.7146, prior_entropy: 1, recall: 0.7146, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7709, kappa: 0.4843, kb_relative_information_score: 15710.4742, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7747, predictive_accuracy: 0.7793, prior_entropy: 1, recall: 0.7793, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7729, kappa: 0.4888, kb_relative_information_score: 15698.2443, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7765, predictive_accuracy: 0.781, prior_entropy: 1, recall: 0.781, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.735, kappa: 0.4022, kb_relative_information_score: 19436, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7392, predictive_accuracy: 0.7469, prior_entropy: 1, recall: 0.7469, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7353, kappa: 0.4028, kb_relative_information_score: 19474, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7398, predictive_accuracy: 0.7473, prior_entropy: 1, recall: 0.7473, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7379, kappa: 0.4158, kb_relative_information_score: 14413.2996, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7363, predictive_accuracy: 0.7413, prior_entropy: 1, recall: 0.7413, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.691, kappa: 0.3017, kb_relative_information_score: 16502, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.6964, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7269, kappa: 0.3845, kb_relative_information_score: 18744, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7293, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7343, kappa: 0.4007, kb_relative_information_score: 19366, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7382, predictive_accuracy: 0.746, prior_entropy: 1, recall: 0.746, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7341, kappa: 0.4002, kb_relative_information_score: 19352, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.738, predictive_accuracy: 0.7458, prior_entropy: 1, recall: 0.7458, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7315, kappa: 0.3948, kb_relative_information_score: 19114, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7345, predictive_accuracy: 0.7428, prior_entropy: 1, recall: 0.7428, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7298, kappa: 0.3909, kb_relative_information_score: 19004, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.733, predictive_accuracy: 0.7414, prior_entropy: 1, recall: 0.7414, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7321, kappa: 0.3961, kb_relative_information_score: 19158, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 1, recall: 0.7433, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7336, kappa: 0.399, kb_relative_information_score: 19334, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7378, predictive_accuracy: 0.7456, prior_entropy: 1, recall: 0.7456, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.73, kappa: 0.3908, kb_relative_information_score: 12485.7821, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7339, predictive_accuracy: 0.7422, prior_entropy: 1, recall: 0.7422, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.7063, kappa: 0.3365, kb_relative_information_score: 17490, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7112, predictive_accuracy: 0.7221, prior_entropy: 1, recall: 0.7221, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.735, kappa: 0.4022, kb_relative_information_score: 19436, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7392, predictive_accuracy: 0.7469, prior_entropy: 1, recall: 0.7469, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.728, kappa: 0.3864, kb_relative_information_score: 12381.5678, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7319, predictive_accuracy: 0.7403, prior_entropy: 1, recall: 0.7403, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7671, kappa: 0.4755, kb_relative_information_score: 15607.699, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7708, predictive_accuracy: 0.7757, prior_entropy: 1, recall: 0.7757, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7332, kappa: 0.3981, kb_relative_information_score: 19292, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7372, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.728, kappa: 0.3867, kb_relative_information_score: 12379.3192, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7313, predictive_accuracy: 0.7398, prior_entropy: 1, recall: 0.7398, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7343, kappa: 0.4007, kb_relative_information_score: 19368, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7382, predictive_accuracy: 0.746, prior_entropy: 1, recall: 0.746, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7709, kappa: 0.4841, kb_relative_information_score: 15719.2971, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.775, predictive_accuracy: 0.7795, prior_entropy: 1, recall: 0.7795, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7315, kappa: 0.3948, kb_relative_information_score: 19114, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7345, predictive_accuracy: 0.7428, prior_entropy: 1, recall: 0.7428, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7311, kappa: 0.3936, kb_relative_information_score: 19124, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7347, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.6606, kappa: 0.2423, kb_relative_information_score: 11235.045, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.711, predictive_accuracy: 0.708, prior_entropy: 1, recall: 0.708, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7343, kappa: 0.4008, kb_relative_information_score: 12968.4253, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 1, recall: 0.7457, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7343, kappa: 0.4007, kb_relative_information_score: 12952.5536, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7382, predictive_accuracy: 0.746, prior_entropy: 1, recall: 0.746, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8319,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7287, kappa: 0.3881, kb_relative_information_score: 12414.2867, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7324, predictive_accuracy: 0.7408, prior_entropy: 1, recall: 0.7408, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8421,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5385, kappa: -0.0182, kb_relative_information_score: 3032, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.5385, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6793, root_relative_squared_error: 1.3587, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6941, kappa: 0.3303, kb_relative_information_score: 15446, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.6968, predictive_accuracy: 0.6921, prior_entropy: 1, recall: 0.6921, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0908, run_cpu_time: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7077, kappa: 0.3431, kb_relative_information_score: 12129.884, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7066, predictive_accuracy: 0.7165, prior_entropy: 1, recall: 0.7165, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, run_cpu_time: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7231, kappa: 0.3741, kb_relative_information_score: 12125.7626, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7339, predictive_accuracy: 0.7406, prior_entropy: 1, recall: 0.7406, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8416, run_cpu_time: 1.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7236, kappa: 0.3753, kb_relative_information_score: 12142.0438, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7343, predictive_accuracy: 0.741, prior_entropy: 1, ram_hours: 0, recall: 0.741, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8417, run_cpu_time: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7132, kappa: 0.3641, kb_relative_information_score: 9242.6521, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.712, predictive_accuracy: 0.7147, prior_entropy: 1, ram_hours: 0, recall: 0.7147, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, run_cpu_time: 5.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7355, kappa: 0.4033, kb_relative_information_score: 12924.8305, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.7403, predictive_accuracy: 0.7477, prior_entropy: 1, ram_hours: 0, recall: 0.7477, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8276, run_cpu_time: 8.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.703, kappa: 0.3341, kb_relative_information_score: 11753.9302, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.701, predictive_accuracy: 0.7101, prior_entropy: 1, ram_hours: 0, recall: 0.7101, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9126, run_cpu_time: 0.2296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1789, kb_relative_information_score: -12038, mean_absolute_error: 0.6529, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.1205, predictive_accuracy: 0.3471, prior_entropy: 1, ram_hours: 0, recall: 0.3471, relative_absolute_error: 1.3058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.808, root_relative_squared_error: 1.616, run_cpu_time: 0.1683,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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