OpenML
Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Task 167119 Supervised Classification jungle_chess_2pcs_raw_endgame_complete 6903 runs submitted
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  • OpenML-CC18 study_218 study_99
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6903 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, kappa: 0.3176, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6159, number_of_instances: 44819, predictive_accuracy: 0.6159, prior_entropy: 1.3491, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9348, unweighted_recall: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7907, kappa: 0.6359, kb_relative_information_score: 0.634, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3832, weighted_recall: 0.7905, number_of_instances: 44819, precision: 0.791, predictive_accuracy: 0.7905, prior_entropy: 1.3491, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8539, unweighted_recall: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.6819, kappa: 0.4485, kb_relative_information_score: 0.3245, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6935, number_of_instances: 44819, precision: 0.6761, predictive_accuracy: 0.6935, prior_entropy: 1.3491, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.8423, unweighted_recall: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.867, kappa: 0.7685, kb_relative_information_score: 0.7367, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8685, number_of_instances: 44819, precision: 0.8668, predictive_accuracy: 0.8685, prior_entropy: 1.3491, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5491, unweighted_recall: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7857, kappa: 0.6269, kb_relative_information_score: 0.6226, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3832, weighted_recall: 0.7872, number_of_instances: 44819, precision: 0.7846, predictive_accuracy: 0.7872, prior_entropy: 1.3491, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.7186, unweighted_recall: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8389, kappa: 0.7196, kb_relative_information_score: 0.7012, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8406, number_of_instances: 44819, precision: 0.8383, predictive_accuracy: 0.8406, prior_entropy: 1.3491, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.6022, unweighted_recall: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.65, kappa: 0.4066, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6803, number_of_instances: 44819, precision: 0.6474, predictive_accuracy: 0.6803, prior_entropy: 1.3491, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7173, kappa: 0.5097, kb_relative_information_score: 0.5149, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3832, weighted_recall: 0.7167, number_of_instances: 44819, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 1.3491, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9929, unweighted_recall: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7902, kappa: 0.635, kb_relative_information_score: 0.6332, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3832, weighted_recall: 0.79, number_of_instances: 44819, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 1.3491, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8549, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8512, kappa: 0.7416, kb_relative_information_score: 0.7345, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8534, number_of_instances: 44819, precision: 0.8507, predictive_accuracy: 0.8534, prior_entropy: 1.3491, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.7141, unweighted_recall: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7834, kappa: 0.6229, kb_relative_information_score: 0.6179, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.3832, weighted_recall: 0.7848, number_of_instances: 44819, precision: 0.7823, predictive_accuracy: 0.7848, prior_entropy: 1.3491, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.7247, unweighted_recall: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8324, kappa: 0.7086, kb_relative_information_score: 0.5734, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8355, number_of_instances: 44819, precision: 0.8329, predictive_accuracy: 0.8355, prior_entropy: 1.3491, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6547, unweighted_recall: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8292, kappa: 0.7035, kb_relative_information_score: 0.6592, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8329, number_of_instances: 44819, precision: 0.8287, predictive_accuracy: 0.8329, prior_entropy: 1.3491, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.6162, unweighted_recall: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6501, kappa: 0.4065, kb_relative_information_score: 0.3032, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.68, number_of_instances: 44819, precision: 0.6491, predictive_accuracy: 0.68, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8661, unweighted_recall: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.6489, kappa: 0.4064, kb_relative_information_score: 0.2967, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6806, number_of_instances: 44819, precision: 0.6437, predictive_accuracy: 0.6806, prior_entropy: 1.3491, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8657, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.65, kappa: 0.4068, kb_relative_information_score: 0.3027, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6804, number_of_instances: 44819, precision: 0.6476, predictive_accuracy: 0.6804, prior_entropy: 1.3491, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.379, root_relative_squared_error: 0.866, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6526, kappa: 0.4053, kb_relative_information_score: 0.3069, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6766, number_of_instances: 44819, precision: 0.6437, predictive_accuracy: 0.6766, prior_entropy: 1.3491, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8648, unweighted_recall: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6526, kappa: 0.4053, kb_relative_information_score: 0.3069, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6766, number_of_instances: 44819, precision: 0.6437, predictive_accuracy: 0.6766, prior_entropy: 1.3491, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8648, unweighted_recall: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6522, kappa: 0.4055, kb_relative_information_score: 0.3048, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6773, number_of_instances: 44819, precision: 0.6439, predictive_accuracy: 0.6773, prior_entropy: 1.3491, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8646, unweighted_recall: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6526, kappa: 0.4053, kb_relative_information_score: 0.3067, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6767, number_of_instances: 44819, precision: 0.6437, predictive_accuracy: 0.6767, prior_entropy: 1.3491, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8647, unweighted_recall: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6489, kappa: 0.4057, kb_relative_information_score: 0.2993, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6802, number_of_instances: 44819, precision: 0.6458, predictive_accuracy: 0.6802, prior_entropy: 1.3491, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.379, root_relative_squared_error: 0.8659, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, kappa: 0.4061, kb_relative_information_score: 0.2708, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6828, number_of_instances: 44819, predictive_accuracy: 0.6828, prior_entropy: 1.3491, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8683, unweighted_recall: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6501, kappa: 0.4065, kb_relative_information_score: 0.3032, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.68, number_of_instances: 44819, precision: 0.6491, predictive_accuracy: 0.68, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8661, unweighted_recall: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.6489, kappa: 0.4064, kb_relative_information_score: 0.2967, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6806, number_of_instances: 44819, precision: 0.6437, predictive_accuracy: 0.6806, prior_entropy: 1.3491, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8657, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6498, kappa: 0.4064, kb_relative_information_score: 0.3027, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6802, number_of_instances: 44819, precision: 0.6472, predictive_accuracy: 0.6802, prior_entropy: 1.3491, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.65, kappa: 0.4068, kb_relative_information_score: 0.3027, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6804, number_of_instances: 44819, precision: 0.6476, predictive_accuracy: 0.6804, prior_entropy: 1.3491, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.379, root_relative_squared_error: 0.866, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.6502, kappa: 0.4063, kb_relative_information_score: 0.3052, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6786, number_of_instances: 44819, precision: 0.6429, predictive_accuracy: 0.6786, prior_entropy: 1.3491, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.8674, unweighted_recall: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, kappa: 0.4061, kb_relative_information_score: 0.2708, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6828, number_of_instances: 44819, predictive_accuracy: 0.6828, prior_entropy: 1.3491, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8683, unweighted_recall: 0.4967,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6489, kappa: 0.4057, kb_relative_information_score: 0.2993, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6802, number_of_instances: 44819, precision: 0.6458, predictive_accuracy: 0.6802, prior_entropy: 1.3491, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.379, root_relative_squared_error: 0.8659, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6498, kappa: 0.4064, kb_relative_information_score: 0.3027, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6802, number_of_instances: 44819, precision: 0.6472, predictive_accuracy: 0.6802, prior_entropy: 1.3491, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6502, kappa: 0.4071, kb_relative_information_score: 0.303, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6805, number_of_instances: 44819, precision: 0.6482, predictive_accuracy: 0.6805, prior_entropy: 1.3491, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.866, unweighted_recall: 0.5037,

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