OpenML
Supervised Classification on volcanoes-b5

Supervised Classification on volcanoes-b5

Task 9931 Supervised Classification volcanoes-b5 75 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9537, kappa: 0.3229, kb_relative_information_score: -28666.5842, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9513, predictive_accuracy: 0.9643, prior_entropy: 0.305, recall: 0.9643, relative_absolute_error: 1.4633, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.952, kappa: 0.2721, kb_relative_information_score: 1267.5008, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9441, predictive_accuracy: 0.9636, prior_entropy: 0.305, recall: 0.9636, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.9536, kappa: 0.3182, kb_relative_information_score: 654.0374, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9436, predictive_accuracy: 0.9647, prior_entropy: 0.305, recall: 0.9647, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.9507, kappa: 0.242, kb_relative_information_score: 1169.5216, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9423, predictive_accuracy: 0.9628, prior_entropy: 0.305, recall: 0.9628, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.9537, kappa: 0.3229, kb_relative_information_score: 468.1341, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9513, predictive_accuracy: 0.9643, prior_entropy: 0.305, recall: 0.9643, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.9506, kappa: 0.2513, kb_relative_information_score: -5566.177, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9434, predictive_accuracy: 0.9616, prior_entropy: 0.305, recall: 0.9616, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1239, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.9513, kappa: 0.3041, kb_relative_information_score: 1624.9907, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9454, predictive_accuracy: 0.9582, prior_entropy: 0.305, recall: 0.9582, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1245, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.9539, kappa: 0.4041, kb_relative_information_score: -32688.3581, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9484, predictive_accuracy: 0.9599, prior_entropy: 0.305, recall: 0.9599, relative_absolute_error: 1.5754, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1241, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.9418, kb_relative_information_score: -580.5816, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.115, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9418, kb_relative_information_score: -259.2895, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.9524, kappa: 0.2821, kb_relative_information_score: -3192.1874, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9479, predictive_accuracy: 0.963, prior_entropy: 0.305, recall: 0.963, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.115, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.9536, kappa: 0.3997, kb_relative_information_score: -587.9527, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9481, predictive_accuracy: 0.9596, prior_entropy: 0.305, recall: 0.9596, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9418, kb_relative_information_score: -118858.4992, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 7.9505, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.3192, root_relative_squared_error: 2.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9418, kb_relative_information_score: -42.8599, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1233, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.9524, kappa: 0.307, kb_relative_information_score: 805.7819, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9444, predictive_accuracy: 0.9618, prior_entropy: 0.305, recall: 0.9618, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.9452, kappa: 0.0889, kb_relative_information_score: 963.874, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9351, predictive_accuracy: 0.9619, prior_entropy: 0.305, recall: 0.9619, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9418, kb_relative_information_score: -42.8599, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1233, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.9506, kappa: 0.2513, kb_relative_information_score: -3721.4773, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9434, predictive_accuracy: 0.9616, prior_entropy: 0.305, recall: 0.9616, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9418, kb_relative_information_score: 17.8295, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1233, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.9503, kappa: 0.252, kb_relative_information_score: -4559.2086, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9416, predictive_accuracy: 0.9613, prior_entropy: 0.305, recall: 0.9613, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.954, kappa: 0.3325, kb_relative_information_score: 1267.2563, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9475, predictive_accuracy: 0.9627, prior_entropy: 0.305, recall: 0.9627, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.9539, kappa: 0.4041, kb_relative_information_score: -528.6055, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9484, predictive_accuracy: 0.9599, prior_entropy: 0.305, recall: 0.9599, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.9418, kb_relative_information_score: -30483.2466, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 1.5272, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9418, kb_relative_information_score: -118912.7484, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 7.9513, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.3207, root_relative_squared_error: 2.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.9539, kappa: 0.4041, kb_relative_information_score: -528.776, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9484, predictive_accuracy: 0.9599, prior_entropy: 0.305, recall: 0.9599, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.954, kappa: 0.3293, kb_relative_information_score: -2999.6962, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9474, predictive_accuracy: 0.9629, prior_entropy: 0.305, recall: 0.9629, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.954, kappa: 0.3325, kb_relative_information_score: 1267.9855, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9475, predictive_accuracy: 0.9627, prior_entropy: 0.305, recall: 0.9627, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.9507, kappa: 0.2417, kb_relative_information_score: -1541.0626, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9406, predictive_accuracy: 0.9633, prior_entropy: 0.305, recall: 0.9633, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.9537, kappa: 0.4001, kb_relative_information_score: -388.0416, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9481, predictive_accuracy: 0.9598, prior_entropy: 0.305, recall: 0.9598, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.114, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9418, kb_relative_information_score: -118873.404, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 7.9498, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.3206, root_relative_squared_error: 2.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9418, kb_relative_information_score: -118893.0762, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 7.9506, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.3206, root_relative_squared_error: 2.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.9444, kappa: 0.0569, kb_relative_information_score: 11.9533, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9417, predictive_accuracy: 0.9618, prior_entropy: 0.305, recall: 0.9618, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.122, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.9534, kappa: 0.3082, kb_relative_information_score: -4574.2246, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9472, predictive_accuracy: 0.9629, prior_entropy: 0.305, recall: 0.9629, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.9419, kappa: 0.2508, kb_relative_information_score: -1138.869, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9435, predictive_accuracy: 0.9402, prior_entropy: 0.305, recall: 0.9402, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1546, root_relative_squared_error: 1.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.9548, kappa: 0.3526, kb_relative_information_score: 2651.6378, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9451, predictive_accuracy: 0.9652, prior_entropy: 0.305, recall: 0.9652, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.118, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.9421, kappa: 0.0073, kb_relative_information_score: 1816.7665, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9343, predictive_accuracy: 0.9611, prior_entropy: 0.305, recall: 0.9611, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1248, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.9545, kappa: 0.3415, kb_relative_information_score: 2633.3753, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9448, predictive_accuracy: 0.9651, prior_entropy: 0.305, recall: 0.9651, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.959, usercpu_time_millis: 1364.882, usercpu_time_millis_testing: 373.46, usercpu_time_millis_training: 991.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.9548, kappa: 0.3473, kb_relative_information_score: 2437.8472, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9491, predictive_accuracy: 0.9636, prior_entropy: 0.305, recall: 0.9636, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.9794, usercpu_time_millis: 985.495, usercpu_time_millis_testing: 63.496, usercpu_time_millis_training: 921.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 12.728, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 12.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.9541, kappa: 0.3356, kb_relative_information_score: 2547.6185, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9444, predictive_accuracy: 0.9646, prior_entropy: 0.305, recall: 0.9646, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.9658, usercpu_time_millis: 451.676, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 448.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.9533, kappa: 0.3018, kb_relative_information_score: 2569.073, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9433, predictive_accuracy: 0.9649, prior_entropy: 0.305, recall: 0.9649, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.9617, usercpu_time_millis: 28.313, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 27.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.0022, kappa: 0, kb_relative_information_score: -145941.4795, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.961, predictive_accuracy: 0.0037, prior_entropy: 0.305, recall: 0.0037, relative_absolute_error: 13.0499, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.6313, root_relative_squared_error: 5.1209, usercpu_time_millis: 25.679, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 25.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.9547, kappa: 0.3488, kb_relative_information_score: 2476.8964, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9472, predictive_accuracy: 0.964, prior_entropy: 0.305, recall: 0.964, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.974, usercpu_time_millis: 12.784, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 12.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 2.457, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.9547, kappa: 0.3496, kb_relative_information_score: 2633.3753, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9449, predictive_accuracy: 0.9651, prior_entropy: 0.305, recall: 0.9651, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.959, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 143.288, usercpu_time_millis_testing: 6.792, usercpu_time_millis_training: 136.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.9551, kappa: 0.3477, kb_relative_information_score: 2616.7374, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9478, predictive_accuracy: 0.9648, prior_entropy: 0.305, recall: 0.9648, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.9631, usercpu_time_millis: 43.087, usercpu_time_millis_testing: 2.041, usercpu_time_millis_training: 41.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 29.013, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 27.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.954, kappa: 0.3223, kb_relative_information_score: 2447.2981, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.947, predictive_accuracy: 0.9638, prior_entropy: 0.305, recall: 0.9638, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.9767, usercpu_time_millis: 36.042, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 35.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.9536, kappa: 0.4002, kb_relative_information_score: 1886.0873, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.948, predictive_accuracy: 0.9597, prior_entropy: 0.305, recall: 0.9597, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.127, root_relative_squared_error: 1.0305, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.9511, kappa: 0.2692, kb_relative_information_score: 2098.4616, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.943, predictive_accuracy: 0.962, prior_entropy: 0.305, recall: 0.962, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.0007, usercpu_time_millis: 1.562, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.9542, kappa: 0.3431, kb_relative_information_score: 2532.1337, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9447, predictive_accuracy: 0.9645, prior_entropy: 0.305, recall: 0.9645, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.9672, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.9495, kappa: 0.2897, kb_relative_information_score: 1414.9455, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.943, predictive_accuracy: 0.9572, prior_entropy: 0.305, recall: 0.9572, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1309, root_relative_squared_error: 1.062, usercpu_time_millis: 36.057, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 35.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.9539, kappa: 0.4048, kb_relative_information_score: 1938.097, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9484, predictive_accuracy: 0.96, prior_entropy: 0.305, recall: 0.96, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1266, root_relative_squared_error: 1.0267, usercpu_time_millis: 2.555, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.9535, kappa: 0.317, kb_relative_information_score: 2546.4368, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9436, predictive_accuracy: 0.9647, prior_entropy: 0.305, recall: 0.9647, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.9645, usercpu_time_millis: 7.077, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 7.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.95, kappa: 0.2127, kb_relative_information_score: 2309.439, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9402, predictive_accuracy: 0.9636, prior_entropy: 0.305, recall: 0.9636, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.9794, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 0.479, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.9531, kappa: 0.303, kb_relative_information_score: 2509.9118, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9431, predictive_accuracy: 0.9645, prior_entropy: 0.305, recall: 0.9645, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.9672, usercpu_time_millis: 20.007, usercpu_time_millis_testing: 2.035, usercpu_time_millis_training: 17.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.9499, kappa: 0.23, kb_relative_information_score: 2094.2772, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.942, predictive_accuracy: 0.962, prior_entropy: 0.305, recall: 0.962, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.0007, usercpu_time_millis: 4.865, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 4.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.9529, kappa: 0.3244, kb_relative_information_score: 1978.7966, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9462, predictive_accuracy: 0.9609, prior_entropy: 0.305, recall: 0.9609, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1251, root_relative_squared_error: 1.015, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.954, kappa: 0.3325, kb_relative_information_score: 2274.1883, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9475, predictive_accuracy: 0.9627, prior_entropy: 0.305, recall: 0.9627, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.9914, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.9538, kappa: 0.3948, kb_relative_information_score: 1825.5433, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9486, predictive_accuracy: 0.9593, prior_entropy: 0.305, recall: 0.9593, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1277, root_relative_squared_error: 1.0356, usercpu_time_millis: 0.359, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.9433, kappa: 0.2472, kb_relative_information_score: -588.8788, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9427, predictive_accuracy: 0.9439, prior_entropy: 0.305, recall: 0.9439, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1497, root_relative_squared_error: 1.2148, usercpu_time_millis: 45.069, usercpu_time_millis_testing: 4.496, usercpu_time_millis_training: 40.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.9532, kappa: 0.3223, kb_relative_information_score: 2402.7004, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9433, predictive_accuracy: 0.9637, prior_entropy: 0.305, recall: 0.9637, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.978, usercpu_time_millis: 26.889, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 26.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.9513, kappa: 0.2518, kb_relative_information_score: 2393.5998, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9412, predictive_accuracy: 0.964, prior_entropy: 0.305, recall: 0.964, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.974, usercpu_time_millis: 10.506, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 9.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 2.709, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 2.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.9548, kappa: 0.3537, kb_relative_information_score: 2651.6378, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9451, predictive_accuracy: 0.9652, prior_entropy: 0.305, recall: 0.9652, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.118, root_relative_squared_error: 0.9576, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 14.453, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 14.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137, usercpu_time_millis: 11.486, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 11.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.954, kappa: 0.3325, kb_relative_information_score: 1267.9855, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9475, predictive_accuracy: 0.9627, prior_entropy: 0.305, recall: 0.9627, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.9238,

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