OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
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1071 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, average_cost: 0.3038, f_measure: 0.7977, kappa: 0.2622, kb_relative_information_score: 459.387, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.797, predictive_accuracy: 0.7985, prior_entropy: 0.6457, recall: 0.7985, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.1693, total_cost: 2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, average_cost: 0.2797, f_measure: 0.8157, kappa: 0.2411, kb_relative_information_score: 1049.9274, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8458, predictive_accuracy: 0.8561, prior_entropy: 0.6457, recall: 0.8561, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, average_cost: 0.2479, f_measure: 0.8281, kappa: 0.4095, kb_relative_information_score: 1688.9461, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.8199, prior_entropy: 0.6457, recall: 0.8199, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1442, total_cost: 2077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, average_cost: 0.2799, f_measure: 0.8155, kappa: 0.2402, kb_relative_information_score: 1049.8259, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, average_cost: 0.2479, f_measure: 0.8281, kappa: 0.4095, kb_relative_information_score: 1688.9461, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.84, predictive_accuracy: 0.8199, prior_entropy: 0.6457, recall: 0.8199, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1442, total_cost: 2077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, average_cost: 0.2801, f_measure: 0.8153, kappa: 0.2392, kb_relative_information_score: 1049.662, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, average_cost: 0.2301, f_measure: 0.8444, kappa: 0.4445, kb_relative_information_score: -131.1822, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8475, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, average_cost: 0.2804, f_measure: 0.8151, kappa: 0.2383, kb_relative_information_score: 1049.5174, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.8557, prior_entropy: 0.6457, recall: 0.8557, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, average_cost: 0.2801, f_measure: 0.8153, kappa: 0.2392, kb_relative_information_score: 1049.4691, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, average_cost: 0.2799, f_measure: 0.8155, kappa: 0.2402, kb_relative_information_score: 1049.4039, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, average_cost: 0.28, f_measure: 0.8154, kappa: 0.2395, kb_relative_information_score: 1049.5421, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8458, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.854, total_cost: 2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, average_cost: 0.6078, f_measure: 0.4215, kappa: 0.1061, kb_relative_information_score: -14650.3652, mean_absolute_error: 0.5721, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8592, predictive_accuracy: 0.3953, prior_entropy: 0.6457, recall: 0.3953, relative_absolute_error: 2.0787, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6703, root_relative_squared_error: 1.8072, total_cost: 5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, average_cost: 0.6078, f_measure: 0.4215, kappa: 0.1061, kb_relative_information_score: -14650.3652, mean_absolute_error: 0.5721, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8592, predictive_accuracy: 0.3953, prior_entropy: 0.6457, recall: 0.3953, relative_absolute_error: 2.0787, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6703, root_relative_squared_error: 1.8072, total_cost: 5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, average_cost: 0.2448, f_measure: 0.8337, kappa: 0.4117, kb_relative_information_score: -627.4798, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8388, predictive_accuracy: 0.8296, prior_entropy: 0.6457, recall: 0.8296, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9255, total_cost: 2051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, average_cost: 0.2375, f_measure: 0.8397, kappa: 0.4271, kb_relative_information_score: -617.1663, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8371, prior_entropy: 0.6457, recall: 0.8371, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9085, total_cost: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, average_cost: 0.2301, f_measure: 0.8444, kappa: 0.4445, kb_relative_information_score: -131.1822, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8475, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965, total_cost: 1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, average_cost: 0.2792, f_measure: 0.8175, kappa: 0.2552, kb_relative_information_score: 644.6015, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8286, predictive_accuracy: 0.8516, prior_entropy: 0.6457, recall: 0.8516, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8866, total_cost: 2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, average_cost: 0.5943, f_measure: 0.4467, kappa: 0.109, kb_relative_information_score: -12275.6984, mean_absolute_error: 0.5325, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.4132, prior_entropy: 0.6457, recall: 0.4132, relative_absolute_error: 1.9349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.8401, total_cost: 4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, average_cost: 0.4111, f_measure: 0.6626, kappa: 0.2289, kb_relative_information_score: -6374.2184, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8397, predictive_accuracy: 0.6138, prior_entropy: 0.6457, recall: 0.6138, relative_absolute_error: 1.409, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.5941, total_cost: 3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, average_cost: 0.534, f_measure: 0.5169, kappa: 0.1487, kb_relative_information_score: -13116.7013, mean_absolute_error: 0.5359, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8551, predictive_accuracy: 0.4731, prior_entropy: 0.6457, recall: 0.4731, relative_absolute_error: 1.9473, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.7314, total_cost: 4474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, average_cost: 0.7786, f_measure: 0.1605, kappa: 0.0214, kb_relative_information_score: -20466.8615, mean_absolute_error: 0.7769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.2231, prior_entropy: 0.6457, recall: 0.2231, relative_absolute_error: 2.8228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8814, root_relative_squared_error: 2.3763, total_cost: 6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, average_cost: 0.352, f_measure: 0.7118, kappa: 0.2941, kb_relative_information_score: -3907.6109, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.6691, prior_entropy: 0.6457, recall: 0.6691, relative_absolute_error: 1.2022, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5752, root_relative_squared_error: 1.5507, total_cost: 2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, average_cost: 0.4469, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: -11498.8596, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.5615, prior_entropy: 0.6457, recall: 0.5615, relative_absolute_error: 1.6836, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.3955, total_cost: 3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, average_cost: 0.5992, f_measure: 0.4433, kappa: 0.1043, kb_relative_information_score: -13536.5249, mean_absolute_error: 0.5902, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.4098, prior_entropy: 0.6457, recall: 0.4098, relative_absolute_error: 2.1446, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7683, root_relative_squared_error: 2.0712, total_cost: 5020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, average_cost: 0.2265, f_measure: 0.8506, kappa: 0.4497, kb_relative_information_score: 2907.5155, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8488, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0347, total_cost: 1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, average_cost: 0.6293, f_measure: 0.3957, kappa: 0.0924, kb_relative_information_score: -14830.424, mean_absolute_error: 0.6251, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8532, predictive_accuracy: 0.3749, prior_entropy: 0.6457, recall: 0.3749, relative_absolute_error: 2.2712, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7906, root_relative_squared_error: 2.1315, total_cost: 5272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, average_cost: 0.2504, f_measure: 0.8339, kappa: 0.3916, kb_relative_information_score: 2256.1348, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8326, predictive_accuracy: 0.8352, prior_entropy: 0.6457, recall: 0.8352, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0946, total_cost: 2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, average_cost: 0.2397, f_measure: 0.84, kappa: 0.4196, kb_relative_information_score: -1968.7873, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.8397, prior_entropy: 0.6457, recall: 0.8397, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9399, total_cost: 2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, average_cost: 0.2504, f_measure: 0.8339, kappa: 0.3916, kb_relative_information_score: 2256.1348, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8326, predictive_accuracy: 0.8352, prior_entropy: 0.6457, recall: 0.8352, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0946, total_cost: 2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, average_cost: 0.2504, f_measure: 0.8339, kappa: 0.3916, kb_relative_information_score: 2256.1348, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8326, predictive_accuracy: 0.8352, prior_entropy: 0.6457, recall: 0.8352, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0946, total_cost: 2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, average_cost: 0.2533, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719, total_cost: 2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, average_cost: 0.2368, f_measure: 0.8496, kappa: 0.4119, kb_relative_information_score: -20.5342, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8478, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8625, total_cost: 1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, average_cost: 0.2534, f_measure: 0.8385, kappa: 0.3536, kb_relative_information_score: 2532.8182, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8423, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.324, root_relative_squared_error: 0.8734, total_cost: 2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, average_cost: 0.2552, f_measure: 0.8371, kappa: 0.3487, kb_relative_information_score: 1162.8254, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8398, predictive_accuracy: 0.8592, prior_entropy: 0.6457, recall: 0.8592, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, average_cost: 0.2621, f_measure: 0.8309, kappa: 0.3396, kb_relative_information_score: -372.4946, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8259, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049, total_cost: 2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, average_cost: 0.2213, f_measure: 0.857, kappa: 0.4606, kb_relative_information_score: -1323.7614, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8536, predictive_accuracy: 0.863, prior_entropy: 0.6457, recall: 0.863, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.8887, total_cost: 1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -3152.5263, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.1285, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0058, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, average_cost: 0.3106, f_measure: 0.7951, kappa: 0.2211, kb_relative_information_score: -1763.69, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7872, predictive_accuracy: 0.8058, prior_entropy: 0.6457, recall: 0.8058, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.427, root_relative_squared_error: 1.1512, total_cost: 2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, average_cost: 0.2185, f_measure: 0.8584, kappa: 0.4681, kb_relative_information_score: 3315.1824, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9954, total_cost: 1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, average_cost: 0.2196, f_measure: 0.8571, kappa: 0.4658, kb_relative_information_score: 3235.4215, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8541, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0032, total_cost: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, average_cost: 0.2187, f_measure: 0.8584, kappa: 0.4678, kb_relative_information_score: 3319.6136, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9949, total_cost: 1832,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, average_cost: 0.2205, f_measure: 0.8566, kappa: 0.4635, kb_relative_information_score: 3222.128, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8535, predictive_accuracy: 0.8612, prior_entropy: 0.6457, recall: 0.8612, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0045, total_cost: 1847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, average_cost: 0.2275, f_measure: 0.8542, kappa: 0.4423, kb_relative_information_score: 3288.5954, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8506, predictive_accuracy: 0.863, prior_entropy: 0.6457, recall: 0.863, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.998, total_cost: 1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, average_cost: 0.2249, f_measure: 0.8539, kappa: 0.4518, kb_relative_information_score: 3142.3671, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.859, prior_entropy: 0.6457, recall: 0.859, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0122, total_cost: 1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, average_cost: 0.2244, f_measure: 0.8539, kappa: 0.4534, kb_relative_information_score: 3120.2113, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8507, predictive_accuracy: 0.8584, prior_entropy: 0.6457, recall: 0.8584, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0143, total_cost: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, average_cost: 0.2228, f_measure: 0.8547, kappa: 0.4576, kb_relative_information_score: 3142.3671, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8517, predictive_accuracy: 0.859, prior_entropy: 0.6457, recall: 0.859, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0122, total_cost: 1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2162, f_measure: 0.8595, kappa: 0.4746, kb_relative_information_score: 3324.0447, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8566, predictive_accuracy: 0.8639, prior_entropy: 0.6457, recall: 0.8639, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9945, total_cost: 1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, average_cost: 0.7658, f_measure: 0.1797, kappa: 0.0283, kb_relative_information_score: -18631.203, mean_absolute_error: 0.6677, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8574, predictive_accuracy: 0.2348, prior_entropy: 0.6457, recall: 0.2348, relative_absolute_error: 2.4261, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.735, root_relative_squared_error: 1.9815, total_cost: 6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, average_cost: 0.2244, f_measure: 0.8539, kappa: 0.4534, kb_relative_information_score: 3120.2113, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8507, predictive_accuracy: 0.8584, prior_entropy: 0.6457, recall: 0.8584, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0143, total_cost: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, average_cost: 0.2723, f_measure: 0.8082, kappa: 0.3648, kb_relative_information_score: -4005.9557, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8305, predictive_accuracy: 0.7943, prior_entropy: 0.6457, recall: 0.7943, relative_absolute_error: 1.129, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3825, root_relative_squared_error: 1.0312, total_cost: 2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, average_cost: 0.2224, f_measure: 0.855, kappa: 0.4588, kb_relative_information_score: 3151.2294, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.852, predictive_accuracy: 0.8593, prior_entropy: 0.6457, recall: 0.8593, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0113, total_cost: 1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.2174, f_measure: 0.8591, kappa: 0.4713, kb_relative_information_score: 3328.4759, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.994, total_cost: 1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, average_cost: 0.2621, f_measure: 0.8309, kappa: 0.3396, kb_relative_information_score: -372.4946, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8259, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049, total_cost: 2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 0.2207, f_measure: 0.8565, kappa: 0.4629, kb_relative_information_score: 3222.128, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8534, predictive_accuracy: 0.8612, prior_entropy: 0.6457, recall: 0.8612, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0045, total_cost: 1849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, average_cost: 0.2168, f_measure: 0.8591, kappa: 0.4731, kb_relative_information_score: 3310.7512, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8636, prior_entropy: 0.6457, recall: 0.8636, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9958, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.216, f_measure: 0.8596, kappa: 0.4749, kb_relative_information_score: 3328.4759, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8567, predictive_accuracy: 0.864, prior_entropy: 0.6457, recall: 0.864, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.994, total_cost: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 0.2164, f_measure: 0.8593, kappa: 0.474, kb_relative_information_score: 3315.1824, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8564, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9954, total_cost: 1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2158, f_measure: 0.8599, kappa: 0.4755, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, average_cost: 0.2164, f_measure: 0.8594, kappa: 0.474, kb_relative_information_score: 3324.0447, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8564, predictive_accuracy: 0.8639, prior_entropy: 0.6457, recall: 0.8639, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9945, total_cost: 1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, average_cost: 0.2174, f_measure: 0.8587, kappa: 0.4716, kb_relative_information_score: 3293.0266, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9975, total_cost: 1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, average_cost: 0.2175, f_measure: 0.8587, kappa: 0.4712, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, average_cost: 0.2176, f_measure: 0.8586, kappa: 0.4709, kb_relative_information_score: 3293.0266, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8556, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9975, total_cost: 1823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, average_cost: 0.2172, f_measure: 0.8589, kappa: 0.4718, kb_relative_information_score: 3306.3201, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.8635, prior_entropy: 0.6457, recall: 0.8635, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9962, total_cost: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, average_cost: 0.2405, f_measure: 0.8479, kappa: 0.397, kb_relative_information_score: -464.0502, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8496, predictive_accuracy: 0.8658, prior_entropy: 0.6457, recall: 0.8658, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, average_cost: 0.2174, f_measure: 0.8588, kappa: 0.4715, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, average_cost: 0.2464, f_measure: 0.8389, kappa: 0.3965, kb_relative_information_score: 2592.9031, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.835, predictive_accuracy: 0.8442, prior_entropy: 0.6457, recall: 0.8442, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.064, total_cost: 2064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, average_cost: 0.2168, f_measure: 0.859, kappa: 0.4731, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, average_cost: 0.2171, f_measure: 0.8588, kappa: 0.4722, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8559, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, average_cost: 0.2169, f_measure: 0.8589, kappa: 0.4728, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 0.2168, f_measure: 0.859, kappa: 0.4732, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, average_cost: 0.2477, f_measure: 0.8097, kappa: 0.4264, kb_relative_information_score: -5641.8956, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8624, predictive_accuracy: 0.7875, prior_entropy: 0.6457, recall: 0.7875, relative_absolute_error: 1.2481, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3902, root_relative_squared_error: 1.0519, total_cost: 2075,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, average_cost: 0.2191, f_measure: 0.8492, kappa: 0.4713, kb_relative_information_score: -3075.7564, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8444, prior_entropy: 0.6457, recall: 0.8444, relative_absolute_error: 1.076, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.941, total_cost: 1836,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, average_cost: 0.2185, f_measure: 0.8543, kappa: 0.4705, kb_relative_information_score: -2084.3787, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8543, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.9103, total_cost: 1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -3349.4868, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.1334, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0015, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, average_cost: 0.2187, f_measure: 0.8542, kappa: 0.4702, kb_relative_information_score: -2095.3293, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8542, predictive_accuracy: 0.8543, prior_entropy: 0.6457, recall: 0.8543, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.9103, total_cost: 1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 0.2323, f_measure: 0.8523, kappa: 0.4263, kb_relative_information_score: -436.8321, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8498, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8676, total_cost: 1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, average_cost: 0.2184, f_measure: 0.8496, kappa: 0.4729, kb_relative_information_score: -3044.3531, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8447, prior_entropy: 0.6457, recall: 0.8447, relative_absolute_error: 1.0738, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9403, total_cost: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, average_cost: 0.2175, f_measure: 0.8549, kappa: 0.4732, kb_relative_information_score: 2987.2764, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.855, predictive_accuracy: 0.8549, prior_entropy: 0.6457, recall: 0.8549, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.381, root_relative_squared_error: 1.0271, total_cost: 1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, average_cost: 0.2212, f_measure: 0.8556, kappa: 0.4621, kb_relative_information_score: 3160.0917, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8528, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.0105, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, average_cost: 0.3225, f_measure: 0.7707, kappa: 0.0445, kb_relative_information_score: 2322.6022, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7988, predictive_accuracy: 0.837, prior_entropy: 0.6457, recall: 0.837, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0886, total_cost: 2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, average_cost: 0.2159, f_measure: 0.8571, kappa: 0.4765, kb_relative_information_score: 3111.349, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8582, prior_entropy: 0.6457, recall: 0.8582, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0152, total_cost: 1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, average_cost: 0.2152, f_measure: 0.8579, kappa: 0.4781, kb_relative_information_score: 3155.6606, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8565, predictive_accuracy: 0.8594, prior_entropy: 0.6457, recall: 0.8594, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.375, root_relative_squared_error: 1.0109, total_cost: 1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, average_cost: 0.2157, f_measure: 0.8579, kappa: 0.4768, kb_relative_information_score: 3173.3852, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0092, total_cost: 1807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, average_cost: 0.2213, f_measure: 0.8549, kappa: 0.4623, kb_relative_information_score: 3098.0555, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.8578, prior_entropy: 0.6457, recall: 0.8578, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0165, total_cost: 1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, average_cost: 0.2158, f_measure: 0.8578, kappa: 0.4765, kb_relative_information_score: 3168.9541, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0096, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, average_cost: 0.2222, f_measure: 0.8542, kappa: 0.4599, kb_relative_information_score: 3071.4685, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8518, predictive_accuracy: 0.8571, prior_entropy: 0.6457, recall: 0.8571, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.378, root_relative_squared_error: 1.019, total_cost: 1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 0.3146, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, average_cost: 0.2566, f_measure: 0.8358, kappa: 0.3474, kb_relative_information_score: 1293.7673, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8355, predictive_accuracy: 0.8561, prior_entropy: 0.6457, recall: 0.8561, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.859, total_cost: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, average_cost: 0.276, f_measure: 0.8211, kappa: 0.2906, kb_relative_information_score: 1092.0241, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8163, predictive_accuracy: 0.8423, prior_entropy: 0.6457, recall: 0.8423, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 2312,

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

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

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