OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 146822 Supervised Classification segment 9967 runs submitted
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  • OpenML-CC18 study_218 study_98 study_99
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9967 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9402, kappa: 0.9303, kb_relative_information_score: 0.936, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9346, kappa: 0.9237, kb_relative_information_score: 0.9321, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9347, predictive_accuracy: 0.9346, prior_entropy: 2.8074, recall: 0.9346, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9424, kappa: 0.9328, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 2.8074, recall: 0.9424, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9338, kappa: 0.9227, kb_relative_information_score: 0.9284, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 2.8074, recall: 0.9338, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.935, kappa: 0.9242, kb_relative_information_score: 0.9315, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9355, predictive_accuracy: 0.9351, prior_entropy: 2.8074, recall: 0.9351, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9381, kappa: 0.9278, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9383, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9328, kappa: 0.9217, kb_relative_information_score: 0.9322, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9331, predictive_accuracy: 0.9329, prior_entropy: 2.8074, recall: 0.9329, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9393, kappa: 0.9293, kb_relative_information_score: 0.9315, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9399, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9333, kappa: 0.9222, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9336, predictive_accuracy: 0.9333, prior_entropy: 2.8074, recall: 0.9333, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9406, kappa: 0.9308, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9415, kappa: 0.9318, kb_relative_information_score: 0.937, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9421, predictive_accuracy: 0.9416, prior_entropy: 2.8074, recall: 0.9416, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9401, kappa: 0.9303, kb_relative_information_score: 0.9351, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9406, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9454, kappa: 0.9364, kb_relative_information_score: 0.9413, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 2.8074, recall: 0.9455, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9406, kappa: 0.9308, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9412, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9209, kappa: 0.9076, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9212, predictive_accuracy: 0.9208, prior_entropy: 2.8074, recall: 0.9208, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.2633, kappa: 0.1823, kb_relative_information_score: 0.2436, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.2788, predictive_accuracy: 0.2991, prior_entropy: 2.8074, recall: 0.2991, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.2788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9227, kappa: 0.9096, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9234, predictive_accuracy: 0.9225, prior_entropy: 2.8074, recall: 0.9225, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9415, kappa: 0.9318, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 2.8074, recall: 0.9416, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9372, kappa: 0.9268, kb_relative_information_score: 2131.3659, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 2.8074, recall: 0.9372, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8514, kappa: 0.8263, kb_relative_information_score: 1890.8066, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8541, predictive_accuracy: 0.8511, prior_entropy: 2.8074, recall: 0.8511, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9193, kappa: 0.9061, kb_relative_information_score: 2048.7589, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9213, predictive_accuracy: 0.9195, prior_entropy: 2.8074, recall: 0.9195, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7179, kappa: 0.697, kb_relative_information_score: 1555.7318, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.767, predictive_accuracy: 0.7403, prior_entropy: 2.8074, recall: 0.7403, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.233, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8815, kappa: 0.8576, kb_relative_information_score: 1936.1693, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8919, predictive_accuracy: 0.8779, prior_entropy: 2.8074, recall: 0.8779, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9014, kappa: 0.8843, kb_relative_information_score: 1947.5554, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9021, predictive_accuracy: 0.9009, prior_entropy: 2.8074, recall: 0.9009, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.5783, kappa: 0.5136, kb_relative_information_score: 826.8064, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5815, predictive_accuracy: 0.5831, prior_entropy: 2.8074, recall: 0.5831, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2496, kappa: -0.1141, kb_relative_information_score: -0.229, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.045, prior_entropy: 2.8074, recall: 0.045, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.35, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.5687, kappa: 0.5384, kb_relative_information_score: 1104.7687, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6048, predictive_accuracy: 0.6043, prior_entropy: 2.8074, recall: 0.6043, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9242, kappa: 0.9121, kb_relative_information_score: 2054.7526, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.927, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1358, kb_relative_information_score: 2.6593, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.35, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.4898, kappa: 0.4682, kb_relative_information_score: 1246.086, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5144, predictive_accuracy: 0.5442, prior_entropy: 2.8074, recall: 0.5442, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9195, kappa: 0.9066, kb_relative_information_score: 2033.4822, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9203, predictive_accuracy: 0.9199, prior_entropy: 2.8074, recall: 0.9199, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, kappa: -0.0066, kb_relative_information_score: 23.6688, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1372, prior_entropy: 2.8074, recall: 0.1372, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9231, kappa: 0.9106, kb_relative_information_score: 2062.7255, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9255, predictive_accuracy: 0.9234, prior_entropy: 2.8074, recall: 0.9234, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9382, kappa: 0.9278, kb_relative_information_score: 2133.6212, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9385, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, kappa: 0.1662, kb_relative_information_score: 485.6135, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.2853, prior_entropy: 2.8074, recall: 0.2853, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6864, kappa: 0.6652, kb_relative_information_score: 1608.6913, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7241, predictive_accuracy: 0.713, prior_entropy: 2.8074, recall: 0.713, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9407, kappa: 0.9308, kb_relative_information_score: 2128.3276, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9198, kappa: 0.9066, kb_relative_information_score: 2110.3447, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9208, predictive_accuracy: 0.9199, prior_entropy: 2.8074, recall: 0.9199, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9397, kappa: 0.9298, kb_relative_information_score: 2127.2517, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9233, kappa: 0.9106, kb_relative_information_score: 2118.9785, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9242, predictive_accuracy: 0.9234, prior_entropy: 2.8074, recall: 0.9234, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9242, kappa: 0.9116, kb_relative_information_score: 2121.1369, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9252, predictive_accuracy: 0.9242, prior_entropy: 2.8074, recall: 0.9242, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2087.6419, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9385, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9246, kappa: 0.9121, kb_relative_information_score: 2122.2161, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9255, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9228, kappa: 0.9101, kb_relative_information_score: 2117.8992, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9239, predictive_accuracy: 0.9229, prior_entropy: 2.8074, recall: 0.9229, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9376, kappa: 0.9273, kb_relative_information_score: 2124.3588, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9379, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9183, kappa: 0.9051, kb_relative_information_score: 2107.1071, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9189, predictive_accuracy: 0.9186, prior_entropy: 2.8074, recall: 0.9186, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9359, kappa: 0.9253, kb_relative_information_score: 2115.704, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9202, kappa: 0.9071, kb_relative_information_score: 2111.4239, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9211, predictive_accuracy: 0.9203, prior_entropy: 2.8074, recall: 0.9203, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9388, kappa: 0.9288, kb_relative_information_score: 2126.8378, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.939, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9385, kappa: 0.9283, kb_relative_information_score: 2131.2847, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.919, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9199, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9189, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9199, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9366, kappa: 0.9263, kb_relative_information_score: 2111.1935, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.925, kappa: 0.9126, kb_relative_information_score: 2123.2953, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.926, predictive_accuracy: 0.9251, prior_entropy: 2.8074, recall: 0.9251, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9211, kappa: 0.9081, kb_relative_information_score: 2113.5824, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9212, prior_entropy: 2.8074, recall: 0.9212, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9358, kappa: 0.9253, kb_relative_information_score: 2130.9029, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.941, kappa: 0.9313, kb_relative_information_score: 2136.2693, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 2.8074, recall: 0.9411, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9261, kappa: 0.9141, kb_relative_information_score: 2126.533, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9271, predictive_accuracy: 0.9264, prior_entropy: 2.8074, recall: 0.9264, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4144,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9406, kappa: 0.9308, kb_relative_information_score: 2136.7154, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9406, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9393, kappa: 0.9293, kb_relative_information_score: 2126.7944, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.924, kappa: 0.9116, kb_relative_information_score: 2121.1369, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9248, predictive_accuracy: 0.9242, prior_entropy: 2.8074, recall: 0.9242, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2117.2068, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3309,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2130.3328, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9383, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9206, kappa: 0.9076, kb_relative_information_score: 2112.5031, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 2.8074, recall: 0.9208, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9358, kappa: 0.9253, kb_relative_information_score: 2131.3537, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9367, kappa: 0.9263, kb_relative_information_score: 2130.042, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9376, kappa: 0.9273, kb_relative_information_score: 2118.4089, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9378, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9216, kappa: 0.9086, kb_relative_information_score: 2114.6616, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9216, prior_entropy: 2.8074, recall: 0.9216, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9202, kappa: 0.9071, kb_relative_information_score: 2111.4239, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9215, predictive_accuracy: 0.9203, prior_entropy: 2.8074, recall: 0.9203, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9398, kappa: 0.9298, kb_relative_information_score: 2131.2576, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9385, kappa: 0.9283, kb_relative_information_score: 2131.8385, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9202, kappa: 0.9071, kb_relative_information_score: 2111.4239, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9215, predictive_accuracy: 0.9203, prior_entropy: 2.8074, recall: 0.9203, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9246, kappa: 0.9121, kb_relative_information_score: 2122.2161, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9253, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9397, kappa: 0.9298, kb_relative_information_score: 2116.2929, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9393, kappa: 0.9293, kb_relative_information_score: 2127.1588, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3214,

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