Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270272 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.5966, kappa: 0.12, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.453, weighted_recall: 0.6764, number_of_instances: 958, precision: 0.6735, predictive_accuracy: 0.6764, prior_entropy: 0.931, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9439, unweighted_recall: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7424, kappa: 0.4205, kb_relative_information_score: 0.3519, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.453, weighted_recall: 0.7724, number_of_instances: 958, precision: 0.8009, predictive_accuracy: 0.7724, prior_entropy: 0.931, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8096, unweighted_recall: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.722, kappa: 0.3761, kb_relative_information_score: 0.254, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.453, weighted_recall: 0.7568, number_of_instances: 958, precision: 0.7831, predictive_accuracy: 0.7568, prior_entropy: 0.931, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8629, unweighted_recall: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6343, kappa: 0.2045, kb_relative_information_score: 0.0645, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.453, weighted_recall: 0.7088, number_of_instances: 958, precision: 0.7769, predictive_accuracy: 0.7088, prior_entropy: 0.931, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9467, unweighted_recall: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6656, kappa: 0.2822, kb_relative_information_score: 0.3516, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.453, weighted_recall: 0.6597, number_of_instances: 958, precision: 0.6776, predictive_accuracy: 0.6597, prior_entropy: 0.931, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9885, unweighted_recall: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.6668, kappa: 0.2655, kb_relative_information_score: 0.2244, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.453, weighted_recall: 0.7255, number_of_instances: 958, precision: 0.7765, predictive_accuracy: 0.7255, prior_entropy: 0.931, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8815, unweighted_recall: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7422, kappa: 0.4187, kb_relative_information_score: 0.315, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.453, weighted_recall: 0.7693, number_of_instances: 958, precision: 0.7877, predictive_accuracy: 0.7693, prior_entropy: 0.931, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8296, unweighted_recall: 0.6834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7778, kappa: 0.4976, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.453, weighted_recall: 0.7965, number_of_instances: 958, precision: 0.8114, predictive_accuracy: 0.7965, prior_entropy: 0.931, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7674, unweighted_recall: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7861, kappa: 0.5161, kb_relative_information_score: 0.3901, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.453, weighted_recall: 0.8027, number_of_instances: 958, precision: 0.8159, predictive_accuracy: 0.8027, prior_entropy: 0.931, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7857, unweighted_recall: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.708, kappa: 0.3471, kb_relative_information_score: 0.2846, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.453, weighted_recall: 0.7484, number_of_instances: 958, precision: 0.7806, predictive_accuracy: 0.7484, prior_entropy: 0.931, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.845, unweighted_recall: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6485, kappa: 0.2289, kb_relative_information_score: 0.1638, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.453, weighted_recall: 0.714, number_of_instances: 958, precision: 0.7626, predictive_accuracy: 0.714, prior_entropy: 0.931, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9202, unweighted_recall: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8322, kappa: 0.6208, kb_relative_information_score: 0.4585, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.453, weighted_recall: 0.8403, number_of_instances: 958, precision: 0.8463, predictive_accuracy: 0.8403, prior_entropy: 0.931, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7521, unweighted_recall: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7312, kappa: 0.4017, kb_relative_information_score: 0.3875, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.453, weighted_recall: 0.7338, number_of_instances: 958, precision: 0.7297, predictive_accuracy: 0.7338, prior_entropy: 0.931, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0842, unweighted_recall: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8246, kappa: 0.6035, kb_relative_information_score: 0.471, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.453, weighted_recall: 0.834, number_of_instances: 958, precision: 0.8414, predictive_accuracy: 0.834, prior_entropy: 0.931, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8199, unweighted_recall: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6523, kappa: 0.2225, kb_relative_information_score: 0.0492, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.453, weighted_recall: 0.7004, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7004, prior_entropy: 0.931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9735, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.6945, kappa: 0.3149, kb_relative_information_score: 207.6364, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7484, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.6998, kappa: 0.3214, kb_relative_information_score: 180.2997, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7187, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8246, kappa: 0.6035, kb_relative_information_score: 451.0615, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8414, predictive_accuracy: 0.834, prior_entropy: 0.9312, recall: 0.834, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8246, kappa: 0.6035, kb_relative_information_score: 451.0615, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8414, predictive_accuracy: 0.834, prior_entropy: 0.9312, recall: 0.834, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 702.3741, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9518, kappa: 0.8931, kb_relative_information_score: 706.5234, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 28.0378, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8771, kappa: 0.7271, kb_relative_information_score: 688.5728, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8769, predictive_accuracy: 0.8779, prior_entropy: 0.9312, recall: 0.8779, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 472.567, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8676, kappa: 0.7005, kb_relative_information_score: 485.9985, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8956, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 502.832, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 521.9146, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 544.3263, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9087, kappa: 0.7942, kb_relative_information_score: 573.079, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9227, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.3586, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 644.9308, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 685.1797, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9532, kappa: 0.8953, kb_relative_information_score: 678.7464, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 685.1797, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 684.0977, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 668.2733, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9694, kappa: 0.9318, kb_relative_information_score: 717.0116, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9711, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 709.5272, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9608, kappa: 0.9124, kb_relative_information_score: 695.4925, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9635, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4256,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs