Task
Supervised Classification on volcanoes-b2

Supervised Classification on volcanoes-b2

Task 9928 Supervised Classification volcanoes-b2 89 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9568, kappa: 0.3206, kb_relative_information_score: -33038.6506, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9502, predictive_accuracy: 0.9652, prior_entropy: 0.2849, recall: 0.9652, relative_absolute_error: 1.4661, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.9572, kappa: 0.3018, kb_relative_information_score: 1348.1894, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9497, predictive_accuracy: 0.9674, prior_entropy: 0.2849, recall: 0.9674, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.106, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9586, kappa: 0.3425, kb_relative_information_score: 521.4145, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9686, prior_entropy: 0.2849, recall: 0.9686, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.9571, kappa: 0.3126, kb_relative_information_score: 1720.5112, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9482, predictive_accuracy: 0.9673, prior_entropy: 0.2849, recall: 0.9673, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9568, kappa: 0.3206, kb_relative_information_score: -1710.5942, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9502, predictive_accuracy: 0.9652, prior_entropy: 0.2849, recall: 0.9652, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.954, kappa: 0.2402, kb_relative_information_score: -5668.0716, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9458, predictive_accuracy: 0.9648, prior_entropy: 0.2849, recall: 0.9648, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.118, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.9555, kappa: 0.317, kb_relative_information_score: 1612.4957, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9497, predictive_accuracy: 0.9619, prior_entropy: 0.2849, recall: 0.9619, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1199, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -36200.7329, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 1.553, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1194, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.9465, kb_relative_information_score: -860.1135, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9465, kb_relative_information_score: -212.3238, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.111, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.9549, kappa: 0.2601, kb_relative_information_score: -3914.643, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9472, predictive_accuracy: 0.9652, prior_entropy: 0.2849, recall: 0.9652, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.111, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.9573, kappa: 0.403, kb_relative_information_score: -1039.1467, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9626, prior_entropy: 0.2849, recall: 0.9626, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: -140948.1449, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 8.6178, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.3188, root_relative_squared_error: 2.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9465, kb_relative_information_score: -65.2036, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1183, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9572, kappa: 0.3215, kb_relative_information_score: 1050.7684, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9505, predictive_accuracy: 0.9659, prior_entropy: 0.2849, recall: 0.9659, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.9508, kappa: 0.1171, kb_relative_information_score: 1164.5526, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9429, predictive_accuracy: 0.9654, prior_entropy: 0.2849, recall: 0.9654, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9465, kb_relative_information_score: -65.2036, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1183, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.954, kappa: 0.2402, kb_relative_information_score: -4048.2963, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9458, predictive_accuracy: 0.9648, prior_entropy: 0.2849, recall: 0.9648, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9465, kb_relative_information_score: 19.1497, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1183, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.9571, kappa: 0.3163, kb_relative_information_score: -4665.9322, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9488, predictive_accuracy: 0.9667, prior_entropy: 0.2849, recall: 0.9667, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.9568, kappa: 0.317, kb_relative_information_score: 1235.2395, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9499, predictive_accuracy: 0.9652, prior_entropy: 0.2849, recall: 0.9652, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -967.7211, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.9465, kb_relative_information_score: -33102.124, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 1.4902, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9465, kb_relative_information_score: -141038.8631, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 8.6187, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.3203, root_relative_squared_error: 2.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -967.6631, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9582, kappa: 0.3394, kb_relative_information_score: -3161.0602, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.952, predictive_accuracy: 0.9667, prior_entropy: 0.2849, recall: 0.9667, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.9573, kappa: 0.4036, kb_relative_information_score: -894.0545, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9627, prior_entropy: 0.2849, recall: 0.9627, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: -141010.7863, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 8.6176, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.3202, root_relative_squared_error: 2.7061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9465, kb_relative_information_score: -140993.2383, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 8.6169, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.3202, root_relative_squared_error: 2.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9558, kappa: 0.2657, kb_relative_information_score: -2028.4959, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9499, predictive_accuracy: 0.967, prior_entropy: 0.2849, recall: 0.967, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.957, kappa: 0.32, kb_relative_information_score: 1255.5525, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9503, predictive_accuracy: 0.9653, prior_entropy: 0.2849, recall: 0.9653, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.9461, kappa: 0.2436, kb_relative_information_score: -1311.3287, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9473, predictive_accuracy: 0.9449, prior_entropy: 0.2849, recall: 0.9449, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1485, root_relative_squared_error: 1.2547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.9585, kappa: 0.3496, kb_relative_information_score: 2842.8797, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9681, prior_entropy: 0.2849, recall: 0.9681, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.9541, usercpu_time_millis: 1289.666, usercpu_time_millis_testing: 372.111, usercpu_time_millis_training: 917.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.958, kappa: 0.342, kb_relative_information_score: 2766.0654, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9491, predictive_accuracy: 0.9678, prior_entropy: 0.2849, recall: 0.9678, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.9597, usercpu_time_millis: 328.875, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 325.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.9585, kappa: 0.3459, kb_relative_information_score: 2890.8643, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9684, prior_entropy: 0.2849, recall: 0.9684, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.9499, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.9551, kappa: 0.2457, kb_relative_information_score: 2542.1413, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.946, predictive_accuracy: 0.9669, prior_entropy: 0.2849, recall: 0.9669, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.115, root_relative_squared_error: 0.9722, usercpu_time_millis: 6.175, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 5.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.957, kappa: 0.32, kb_relative_information_score: 2339.6146, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9503, predictive_accuracy: 0.9653, prior_entropy: 0.2849, recall: 0.9653, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.9953, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126, usercpu_time_millis: 2.129, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9539, kappa: 0.2412, kb_relative_information_score: 1979.9273, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9497, predictive_accuracy: 0.9635, prior_entropy: 0.2849, recall: 0.9635, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.9574, kappa: 0.3312, kb_relative_information_score: 2379.4168, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9506, predictive_accuracy: 0.9656, prior_entropy: 0.2849, recall: 0.9656, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126, usercpu_time_millis: 13.298, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 12.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.9582, kappa: 0.3477, kb_relative_information_score: 2581.6908, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9508, predictive_accuracy: 0.9666, prior_entropy: 0.2849, recall: 0.9666, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.9763, usercpu_time_millis: 1149.789, usercpu_time_millis_testing: 70.684, usercpu_time_millis_training: 1079.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.9582, kappa: 0.3468, kb_relative_information_score: 2678.1928, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9499, predictive_accuracy: 0.9673, prior_entropy: 0.2849, recall: 0.9673, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.9666, usercpu_time_millis: 12.679, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 12.506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.9585, kappa: 0.3459, kb_relative_information_score: 2890.8643, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9684, prior_entropy: 0.2849, recall: 0.9684, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.9499, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.496,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.9584, kappa: 0.346, kb_relative_information_score: 2725.6447, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.951, predictive_accuracy: 0.9675, prior_entropy: 0.2849, recall: 0.9675, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.9639, usercpu_time_millis: 45.18, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 43.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.9582, kappa: 0.3406, kb_relative_information_score: 2631.9764, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9523, predictive_accuracy: 0.9669, prior_entropy: 0.2849, recall: 0.9669, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.115, root_relative_squared_error: 0.9722, usercpu_time_millis: 39.947, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 39.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.956, kappa: 0.2928, kb_relative_information_score: 2300.9723, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9492, predictive_accuracy: 0.9653, prior_entropy: 0.2849, recall: 0.9653, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.9953, usercpu_time_millis: 1.939, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.576,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.9582, kappa: 0.3499, kb_relative_information_score: 2740.9867, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9494, predictive_accuracy: 0.9676, prior_entropy: 0.2849, recall: 0.9676, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.9625, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: 1924.653, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1225, root_relative_squared_error: 1.0349, usercpu_time_millis: 2.698, usercpu_time_millis_testing: 2.512, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.9585, kappa: 0.3396, kb_relative_information_score: 2932.9252, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9687, prior_entropy: 0.2849, recall: 0.9687, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.9456, usercpu_time_millis: 7.66, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 7.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.9538, kappa: 0.2095, kb_relative_information_score: 2427.6119, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9446, predictive_accuracy: 0.9664, prior_entropy: 0.2849, recall: 0.9664, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.979, usercpu_time_millis: 1.476, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 1.464,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9584, kappa: 0.344, kb_relative_information_score: -188.0244, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9495, predictive_accuracy: 0.9683, prior_entropy: 0.2849, recall: 0.9683, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.8751, scimark_benchmark: 478.8202, usercpu_time_millis: 24990, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 24950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9577, kappa: 0.3195, kb_relative_information_score: -2096.3504, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9488, predictive_accuracy: 0.968, prior_entropy: 0.2849, recall: 0.968, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.8823, scimark_benchmark: 1244.5386, usercpu_time_millis: 8070, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 6390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -967.6631, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9281, scimark_benchmark: 1239.0668, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.9464, kappa: 0.2328, kb_relative_information_score: -1086.8438, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 0.2849, recall: 0.9465, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1463, root_relative_squared_error: 1.2361, scimark_benchmark: 473.1656, usercpu_time_millis: 18600, usercpu_time_millis_testing: 18590, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9585, kappa: 0.3396, kb_relative_information_score: -1171.0365, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9496, predictive_accuracy: 0.9687, prior_entropy: 0.2849, recall: 0.9687, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.8741, scimark_benchmark: 1254.1389, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.957, kappa: 0.32, kb_relative_information_score: 1255.5525, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9503, predictive_accuracy: 0.9653, prior_entropy: 0.2849, recall: 0.9653, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.9342, scimark_benchmark: 473.1656, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9568, kappa: 0.3206, kb_relative_information_score: -1710.5942, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9502, predictive_accuracy: 0.9652, prior_entropy: 0.2849, recall: 0.9652, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.9073, scimark_benchmark: 473.1656, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.9465, kb_relative_information_score: 1371.5702, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.8997, scimark_benchmark: 479.2609, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -967.6631, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9281, scimark_benchmark: 1230.3004, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3917, kappa: -0.0009, kb_relative_information_score: -138271.5571, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9274, predictive_accuracy: 0.2515, prior_entropy: 0.2849, recall: 0.2515, relative_absolute_error: 10.8687, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.5276, root_relative_squared_error: 4.4584, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9572, kappa: 0.4023, kb_relative_information_score: -967.6631, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9524, predictive_accuracy: 0.9625, prior_entropy: 0.2849, recall: 0.9625, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.9281, scimark_benchmark: 1230.3004, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9589, kappa: 0.3588, kb_relative_information_score: -1790.5589, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.95, predictive_accuracy: 0.9684, prior_entropy: 0.2849, recall: 0.9684, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.8776, scimark_benchmark: 1230.3004, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.9465, kb_relative_information_score: -65.2036, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1183, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.957, kappa: 0.32, kb_relative_information_score: 1255.5525, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9503, predictive_accuracy: 0.9653, prior_entropy: 0.2849, recall: 0.9653, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.9342,

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

OpenML bootcamp

From your own software

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

OpenML APIs