Task
Supervised Classification on connect-4

Supervised Classification on connect-4

Task 146195 Supervised Classification connect-4 7914 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7506, kappa: 0.5061, kb_relative_information_score: 28611.1712, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.742, predictive_accuracy: 0.7698, prior_entropy: 1.2185, recall: 0.7698, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7656, kappa: 0.5296, kb_relative_information_score: 31952.61, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7606, predictive_accuracy: 0.7716, prior_entropy: 1.2185, recall: 0.7716, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.758, kappa: 0.5183, kb_relative_information_score: 30017.2528, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7498, predictive_accuracy: 0.7727, prior_entropy: 1.2185, recall: 0.7727, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7603, kappa: 0.5227, kb_relative_information_score: 30321.6831, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7524, predictive_accuracy: 0.7739, prior_entropy: 1.2185, recall: 0.7739, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7548, kappa: 0.5128, kb_relative_information_score: 29456.2925, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7463, predictive_accuracy: 0.7714, prior_entropy: 1.2185, recall: 0.7714, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7502, kappa: 0.5035, kb_relative_information_score: 28536.0814, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7418, predictive_accuracy: 0.7695, prior_entropy: 1.2185, recall: 0.7695, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7635, kappa: 0.5262, kb_relative_information_score: 31887.9223, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7586, predictive_accuracy: 0.7696, prior_entropy: 1.2185, recall: 0.7696, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.749, kappa: 0.5021, kb_relative_information_score: 28076.9646, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.741, predictive_accuracy: 0.7695, prior_entropy: 1.2185, recall: 0.7695, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7636, kappa: 0.5268, kb_relative_information_score: 31779.9, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.758, predictive_accuracy: 0.7706, prior_entropy: 1.2185, recall: 0.7706, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7682, kappa: 0.5364, kb_relative_information_score: 32317.1117, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7624, predictive_accuracy: 0.7758, prior_entropy: 1.2185, recall: 0.7758, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.758, kappa: 0.5183, kb_relative_information_score: 30013.6304, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7498, predictive_accuracy: 0.7727, prior_entropy: 1.2185, recall: 0.7727, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7456, kappa: 0.4948, kb_relative_information_score: 27888.3404, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7373, predictive_accuracy: 0.7674, prior_entropy: 1.2185, recall: 0.7674, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7489, kappa: 0.5019, kb_relative_information_score: 28369.3266, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7402, predictive_accuracy: 0.7686, prior_entropy: 1.2185, recall: 0.7686, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7662, kappa: 0.5328, kb_relative_information_score: 31930.2535, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7597, predictive_accuracy: 0.7754, prior_entropy: 1.2185, recall: 0.7754, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7577, kappa: 0.5164, kb_relative_information_score: 29869.8051, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7498, predictive_accuracy: 0.7714, prior_entropy: 1.2185, recall: 0.7714, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7455, kappa: 0.4948, kb_relative_information_score: 27883.3411, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7373, predictive_accuracy: 0.7674, prior_entropy: 1.2185, recall: 0.7674, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7635, kappa: 0.5281, kb_relative_information_score: 31066.7492, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7567, predictive_accuracy: 0.7737, prior_entropy: 1.2185, recall: 0.7737, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7648, kappa: 0.5284, kb_relative_information_score: 32404.6018, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.761, predictive_accuracy: 0.7693, prior_entropy: 1.2185, recall: 0.7693, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7625, kappa: 0.5245, kb_relative_information_score: 30814.5997, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7557, predictive_accuracy: 0.7721, prior_entropy: 1.2185, recall: 0.7721, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.766, kappa: 0.529, kb_relative_information_score: 33251.6074, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7665, predictive_accuracy: 0.7656, prior_entropy: 1.2185, recall: 0.7656, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7548, kappa: 0.5128, kb_relative_information_score: 29466.0847, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7463, predictive_accuracy: 0.7715, prior_entropy: 1.2185, recall: 0.7715, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7549, kappa: 0.513, kb_relative_information_score: 29470.7582, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7463, predictive_accuracy: 0.7716, prior_entropy: 1.2185, recall: 0.7716, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 31388.0421, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7575, predictive_accuracy: 0.7726, prior_entropy: 1.2185, recall: 0.7726, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7506, kappa: 0.506, kb_relative_information_score: 28613.5649, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7419, predictive_accuracy: 0.7698, prior_entropy: 1.2185, recall: 0.7698, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7603, kappa: 0.5229, kb_relative_information_score: 30326.5451, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7525, predictive_accuracy: 0.774, prior_entropy: 1.2185, recall: 0.774, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7637, kappa: 0.5284, kb_relative_information_score: 31087.9546, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7569, predictive_accuracy: 0.7739, prior_entropy: 1.2185, recall: 0.7739, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7525, kappa: 0.5094, kb_relative_information_score: 28919.8941, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.744, predictive_accuracy: 0.771, prior_entropy: 1.2185, recall: 0.771, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7627, kappa: 0.527, kb_relative_information_score: 30717.1168, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7552, predictive_accuracy: 0.775, prior_entropy: 1.2185, recall: 0.775, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7636, kappa: 0.5283, kb_relative_information_score: 31082.2701, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7568, predictive_accuracy: 0.7738, prior_entropy: 1.2185, recall: 0.7738, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7525, kappa: 0.5094, kb_relative_information_score: 28924.2624, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.744, predictive_accuracy: 0.771, prior_entropy: 1.2185, recall: 0.771, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7474, kappa: 0.4991, kb_relative_information_score: 27854.408, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7397, predictive_accuracy: 0.7684, prior_entropy: 1.2185, recall: 0.7684, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7472, kappa: 0.4978, kb_relative_information_score: 28081.8292, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7388, predictive_accuracy: 0.7679, prior_entropy: 1.2185, recall: 0.7679, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7471, kappa: 0.4978, kb_relative_information_score: 28083.0831, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7388, predictive_accuracy: 0.7679, prior_entropy: 1.2185, recall: 0.7679, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7533, kappa: 0.5088, kb_relative_information_score: 28949.1398, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7447, predictive_accuracy: 0.7704, prior_entropy: 1.2185, recall: 0.7704, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7597, kappa: 0.5198, kb_relative_information_score: 30209.331, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7523, predictive_accuracy: 0.7716, prior_entropy: 1.2185, recall: 0.7716, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7492, kappa: 0.5025, kb_relative_information_score: 28077.8316, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7412, predictive_accuracy: 0.7696, prior_entropy: 1.2185, recall: 0.7696, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7449, kappa: 0.4937, kb_relative_information_score: 27697.1338, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7363, predictive_accuracy: 0.7671, prior_entropy: 1.2185, recall: 0.7671, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.749, kappa: 0.5021, kb_relative_information_score: 28367.3812, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7403, predictive_accuracy: 0.7687, prior_entropy: 1.2185, recall: 0.7687, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7577, kappa: 0.5163, kb_relative_information_score: 29859.2958, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7497, predictive_accuracy: 0.7713, prior_entropy: 1.2185, recall: 0.7713, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7679, kappa: 0.5337, kb_relative_information_score: 34337.2427, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7722, predictive_accuracy: 0.7641, prior_entropy: 1.2185, recall: 0.7641, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7548, kappa: 0.5127, kb_relative_information_score: 29459.3216, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7463, predictive_accuracy: 0.7714, prior_entropy: 1.2185, recall: 0.7714, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7487, kappa: 0.501, kb_relative_information_score: 28292.3988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7402, predictive_accuracy: 0.7688, prior_entropy: 1.2185, recall: 0.7688, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7666, kappa: 0.5305, kb_relative_information_score: 33727.9643, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7676, predictive_accuracy: 0.7657, prior_entropy: 1.2185, recall: 0.7657, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7506, kappa: 0.5059, kb_relative_information_score: 28608.5844, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7419, predictive_accuracy: 0.7698, prior_entropy: 1.2185, recall: 0.7698, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7548, kappa: 0.511, kb_relative_information_score: 29231.0383, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7464, predictive_accuracy: 0.7707, prior_entropy: 1.2185, recall: 0.7707, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7616, kappa: 0.5234, kb_relative_information_score: 30561.5786, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7544, predictive_accuracy: 0.7726, prior_entropy: 1.2185, recall: 0.7726, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8041,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7502, kappa: 0.5034, kb_relative_information_score: 28540.763, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7418, predictive_accuracy: 0.7695, prior_entropy: 1.2185, recall: 0.7695, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7507, kappa: 0.5063, kb_relative_information_score: 28614.0488, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.742, predictive_accuracy: 0.77, prior_entropy: 1.2185, recall: 0.77, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7456, kappa: 0.495, kb_relative_information_score: 27895.0665, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7374, predictive_accuracy: 0.7675, prior_entropy: 1.2185, recall: 0.7675, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7491, kappa: 0.5024, kb_relative_information_score: 28259.8907, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7408, predictive_accuracy: 0.7692, prior_entropy: 1.2185, recall: 0.7692, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7666, kappa: 0.5307, kb_relative_information_score: 32883.9861, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7646, predictive_accuracy: 0.7687, prior_entropy: 1.2185, recall: 0.7687, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.8254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7562, kappa: 0.5154, kb_relative_information_score: 29752.9948, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7479, predictive_accuracy: 0.7719, prior_entropy: 1.2185, recall: 0.7719, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7632, kappa: 0.5249, kb_relative_information_score: 31271.9586, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7579, predictive_accuracy: 0.7698, prior_entropy: 1.2185, recall: 0.7698, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 34357.3317, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7723, predictive_accuracy: 0.7641, prior_entropy: 1.2185, recall: 0.7641, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7472, kappa: 0.4978, kb_relative_information_score: 28082.6543, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7388, predictive_accuracy: 0.7679, prior_entropy: 1.2185, recall: 0.7679, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7581, kappa: 0.5185, kb_relative_information_score: 30017.7096, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7499, predictive_accuracy: 0.7728, prior_entropy: 1.2185, recall: 0.7728, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7534, kappa: 0.5091, kb_relative_information_score: 28952.5487, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7448, predictive_accuracy: 0.7705, prior_entropy: 1.2185, recall: 0.7705, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8048,

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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From your own software

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

OpenML APIs