Task
Supervised Classification on confidence

Supervised Classification on confidence

Task 4264 Supervised Classification confidence 186 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 1330.4354, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7626, kappa: 0.73, kb_relative_information_score: 514.6874, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7682, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6268, scimark_benchmark: 1325.5735, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7687, kappa: 0.7367, kb_relative_information_score: 548.4946, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7721, predictive_accuracy: 0.7806, prior_entropy: 2.585, recall: 0.7806, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6158, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7626, kappa: 0.73, kb_relative_information_score: 514.6874, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7682, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6268, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8028, kappa: 0.7617, kb_relative_information_score: 565.3245, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8052, predictive_accuracy: 0.8014, prior_entropy: 2.585, recall: 0.8014, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6785, scimark_benchmark: 1337.7947, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7687, kappa: 0.7367, kb_relative_information_score: 548.4946, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7721, predictive_accuracy: 0.7806, prior_entropy: 2.585, recall: 0.7806, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6158, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7626, kappa: 0.73, kb_relative_information_score: 514.6874, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7682, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6268, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8249, kappa: 0.7983, kb_relative_information_score: 550.7121, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8252, predictive_accuracy: 0.8319, prior_entropy: 2.585, recall: 0.8319, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5576, scimark_benchmark: 1354.629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.1331, kappa: 0.1183, kb_relative_information_score: 137.1713, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.091, predictive_accuracy: 0.2653, prior_entropy: 2.585, recall: 0.2653, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.3279, scimark_benchmark: 1295.0797, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8156, kappa: 0.7817, kb_relative_information_score: 583.5476, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8221, predictive_accuracy: 0.8181, prior_entropy: 2.585, recall: 0.8181, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.5377, scimark_benchmark: 1323.7742, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7745, kappa: 0.735, kb_relative_information_score: 545.0635, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7736, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6884, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8141, kappa: 0.7767, kb_relative_information_score: 574.8164, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8166, predictive_accuracy: 0.8139, prior_entropy: 2.585, recall: 0.8139, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6267, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7687, kappa: 0.7367, kb_relative_information_score: 548.4946, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7721, predictive_accuracy: 0.7806, prior_entropy: 2.585, recall: 0.7806, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6158, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8119, kappa: 0.785, kb_relative_information_score: 549.81, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8135, predictive_accuracy: 0.8208, prior_entropy: 2.585, recall: 0.8208, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5584, scimark_benchmark: 1351.6526, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.825, kappa: 0.795, kb_relative_information_score: 552.2431, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.825, predictive_accuracy: 0.8292, prior_entropy: 2.585, recall: 0.8292, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5576, scimark_benchmark: 1327.2954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8268, kappa: 0.8033, kb_relative_information_score: 577.2533, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.832, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.6045, scimark_benchmark: 1314.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8175, kappa: 0.78, kb_relative_information_score: 574.5683, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8196, predictive_accuracy: 0.8167, prior_entropy: 2.585, recall: 0.8167, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.6633, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8206, kappa: 0.7933, kb_relative_information_score: 549.8576, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.821, predictive_accuracy: 0.8278, prior_entropy: 2.585, recall: 0.8278, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5586, scimark_benchmark: 1352.2099, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8188, kappa: 0.7833, kb_relative_information_score: 575.5407, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.82, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.6531, scimark_benchmark: 1324.5988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.87, kappa: 0.8433, kb_relative_information_score: 615.8394, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8726, predictive_accuracy: 0.8694, prior_entropy: 2.585, recall: 0.8694, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4927, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8274, kappa: 0.7883, kb_relative_information_score: 556.8366, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8445, predictive_accuracy: 0.8236, prior_entropy: 2.585, recall: 0.8236, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.6282, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8274, kappa: 0.7883, kb_relative_information_score: 580.077, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8445, predictive_accuracy: 0.8236, prior_entropy: 2.585, recall: 0.8236, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.6506, scimark_benchmark: 1334.4761, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.2704, kappa: 0.1517, kb_relative_information_score: 269.7529, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.2862, predictive_accuracy: 0.2931, prior_entropy: 2.585, recall: 0.2931, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9043, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8235, kappa: 0.7933, kb_relative_information_score: 552.0003, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.824, predictive_accuracy: 0.8278, prior_entropy: 2.585, recall: 0.8278, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5579, scimark_benchmark: 1318.0032, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8078, kappa: 0.775, kb_relative_information_score: 550.453, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8074, predictive_accuracy: 0.8125, prior_entropy: 2.585, recall: 0.8125, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.5638, scimark_benchmark: 1283.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7537, kappa: 0.7217, kb_relative_information_score: 548.7517, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7599, predictive_accuracy: 0.7681, prior_entropy: 2.585, recall: 0.7681, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6577, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8092, kappa: 0.7783, kb_relative_information_score: 554.4326, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8088, predictive_accuracy: 0.8153, prior_entropy: 2.585, recall: 0.8153, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5583, scimark_benchmark: 1332.0465, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7537, kappa: 0.7217, kb_relative_information_score: 548.7517, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7599, predictive_accuracy: 0.7681, prior_entropy: 2.585, recall: 0.7681, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6577, scimark_benchmark: 1306.8098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8586, kappa: 0.83, kb_relative_information_score: 608.7875, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8608, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.5143, scimark_benchmark: 1341.994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7653, kappa: 0.7183, kb_relative_information_score: 528.2378, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7705, predictive_accuracy: 0.7653, prior_entropy: 2.585, recall: 0.7653, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.7295, scimark_benchmark: 1316.9728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, build_cpu_time: 0.1501, build_memory: 1278205606.3889, f_measure: 0.8253, kappa: 0.7917, kb_relative_information_score: 545.49, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8248, predictive_accuracy: 0.8264, prior_entropy: 2.585, recall: 0.8264, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5506, scimark_benchmark: 943.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, build_cpu_time: 0.0341, build_memory: 1726860764.9111, f_measure: 0.8213, kappa: 0.7883, kb_relative_information_score: 561.0538, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8212, predictive_accuracy: 0.8236, prior_entropy: 2.585, recall: 0.8236, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5592, scimark_benchmark: 940.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, build_cpu_time: 0.0221, build_memory: 1521476436.5333, f_measure: 0.818, kappa: 0.785, kb_relative_information_score: 559.5571, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.818, predictive_accuracy: 0.8208, prior_entropy: 2.585, recall: 0.8208, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5635, scimark_benchmark: 937.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0112, build_memory: 1508847324.4, f_measure: 0.8165, kappa: 0.7833, kb_relative_information_score: 558.4639, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8165, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5676, scimark_benchmark: 940.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, build_cpu_time: 0.0049, build_memory: 3508337528.8889, f_measure: 0.8096, kappa: 0.775, kb_relative_information_score: 558.9002, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8096, predictive_accuracy: 0.8125, prior_entropy: 2.585, recall: 0.8125, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.5719, scimark_benchmark: 938.0788,

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