OpenML
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1915 Supervised Classification dermatology 163 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8564, kappa: 0.8429, kb_relative_information_score: 2658.5161, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8456, predictive_accuracy: 0.876, prior_entropy: 2.4378, recall: 0.876, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.565, scimark_benchmark: 1306.5032, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9476, kappa: 0.9347, kb_relative_information_score: 3397.9163, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 2.4378, recall: 0.9478, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3587, scimark_benchmark: 1299.9482, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.1434, kb_relative_information_score: 2.7039, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.92, kappa: 0.9016, kb_relative_information_score: 258.4809, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9286, predictive_accuracy: 0.9219, prior_entropy: 2.4378, recall: 0.9219, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9899, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9648, kappa: 0.9558, kb_relative_information_score: 3487.4041, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9663, predictive_accuracy: 0.9648, prior_entropy: 2.4378, recall: 0.9648, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2971, scimark_benchmark: 1284.2094, usercpu_time_millis: 1320, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.352, kappa: 0.3363, kb_relative_information_score: 1322.5871, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2834, predictive_accuracy: 0.4978, prior_entropy: 2.4378, recall: 0.4978, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.871, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.883, kappa: 0.8525, kb_relative_information_score: 3050.7808, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8841, predictive_accuracy: 0.8822, prior_entropy: 2.4378, recall: 0.8822, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5097, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9672, kappa: 0.9592, kb_relative_information_score: 3165.7301, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 2.4378, recall: 0.9675, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3444, scimark_benchmark: 1324.5988, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9598, kappa: 0.9501, kb_relative_information_score: 3485.1163, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9597, predictive_accuracy: 0.9601, prior_entropy: 2.4378, recall: 0.9601, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3014, scimark_benchmark: 1354.686, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 1006.9991, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.939, kappa: 0.9244, kb_relative_information_score: 3378.1999, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9386, predictive_accuracy: 0.9396, prior_entropy: 2.4378, recall: 0.9396, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3818, scimark_benchmark: 1384.8417, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.939, kappa: 0.9244, kb_relative_information_score: 3378.1999, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9386, predictive_accuracy: 0.9396, prior_entropy: 2.4378, recall: 0.9396, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3818, scimark_benchmark: 1341.994, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9728, kappa: 0.9658, kb_relative_information_score: 3547.1348, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9737, predictive_accuracy: 0.9727, prior_entropy: 2.4378, recall: 0.9727, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2014, scimark_benchmark: 1319.9329, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9728, kappa: 0.9658, kb_relative_information_score: 3546.8195, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9737, predictive_accuracy: 0.9727, prior_entropy: 2.4378, recall: 0.9727, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2019, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.801, kappa: 0.7868, kb_relative_information_score: 2058.8817, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.7877, predictive_accuracy: 0.8333, prior_entropy: 2.4378, recall: 0.8333, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6401, scimark_benchmark: 937.5996, usercpu_time_millis: 2150, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8675, kappa: 0.8352, kb_relative_information_score: 2031.4001, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.872, predictive_accuracy: 0.8697, prior_entropy: 2.4378, recall: 0.8697, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6708, scimark_benchmark: 1335.693, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.972, kappa: 0.9648, kb_relative_information_score: 3544.0295, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.973, predictive_accuracy: 0.9719, prior_entropy: 2.4378, recall: 0.9719, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2039, scimark_benchmark: 1334.3805, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.953, kappa: 0.9409, kb_relative_information_score: 3403.9132, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9533, predictive_accuracy: 0.9527, prior_entropy: 2.4378, recall: 0.9527, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3067, scimark_benchmark: 1361.2664, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9494, kappa: 0.9369, kb_relative_information_score: 3155.2092, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 2.4378, recall: 0.9497, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3601, scimark_benchmark: 1345.8373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9721, kappa: 0.9651, kb_relative_information_score: 3512.694, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9722, predictive_accuracy: 0.9721, prior_entropy: 2.4378, recall: 0.9721, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2466, scimark_benchmark: 882.7843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9286, kappa: 0.9106, kb_relative_information_score: 3207.5385, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9307, predictive_accuracy: 0.929, prior_entropy: 2.4378, recall: 0.929, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3691, scimark_benchmark: 1318.3541, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9242, kappa: 0.9051, kb_relative_information_score: 3202.1586, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9256, predictive_accuracy: 0.9246, prior_entropy: 2.4378, recall: 0.9246, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3753, scimark_benchmark: 1338.01, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9706, kappa: 0.9634, kb_relative_information_score: 3516.6112, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 2.4378, recall: 0.9708, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2686, scimark_benchmark: 930.5999, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9476, kappa: 0.9347, kb_relative_information_score: 3428.2597, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 2.4378, recall: 0.9478, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.3615, scimark_benchmark: 912.7324, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9605, kappa: 0.9514, kb_relative_information_score: 2341.3848, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9617, predictive_accuracy: 0.9612, prior_entropy: 2.4378, recall: 0.9612, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.6132, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9567, kappa: 0.9462, kb_relative_information_score: 3162.9429, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 2.4378, recall: 0.9571, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3501, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9617, kappa: 0.9525, kb_relative_information_score: 3492.6497, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9616, predictive_accuracy: 0.962, prior_entropy: 2.4378, recall: 0.962, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.291, scimark_benchmark: 1335.4072, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9664, kappa: 0.9583, kb_relative_information_score: 3511.271, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9664, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2613, scimark_benchmark: 940.0008, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9316, kappa: 0.9144, kb_relative_information_score: 3301.2795, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9329, predictive_accuracy: 0.9317, prior_entropy: 2.4378, recall: 0.9317, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3991, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9707, kappa: 0.9631, kb_relative_information_score: 3419.5089, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9715, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2744, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9636, kappa: 0.9542, kb_relative_information_score: 3438.918, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9646, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2829, scimark_benchmark: 1324.8395, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9752, kappa: 0.9692, kb_relative_information_score: 1260.8031, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.976, predictive_accuracy: 0.9754, prior_entropy: 2.4378, recall: 0.9754, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.8528, scimark_benchmark: 1315.395, usercpu_time_millis: 310, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9616, kappa: 0.9521, kb_relative_information_score: 1254.0753, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 2.4378, recall: 0.9617, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.854, scimark_benchmark: 1312.3073, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9756, kappa: 0.9696, kb_relative_information_score: 3477.8578, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 2.4378, recall: 0.9757, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2338, scimark_benchmark: 912.5006, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9694, kappa: 0.9617, kb_relative_information_score: 3518.0147, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 2.4378, recall: 0.9694, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2768, scimark_benchmark: 1304.9611, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9592, kappa: 0.9487, kb_relative_information_score: 3478.6338, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2853, scimark_benchmark: 1297.5331, usercpu_time_millis: 2920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1315.0767, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8827, kappa: 0.8522, kb_relative_information_score: 3125.1574, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8838, predictive_accuracy: 0.882, prior_entropy: 2.4378, recall: 0.882, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5252, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9065, kappa: 0.8829, kb_relative_information_score: 3154.6319, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.908, predictive_accuracy: 0.9068, prior_entropy: 2.4378, recall: 0.9068, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4494, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9457, kappa: 0.9317, kb_relative_information_score: 3366.7798, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9465, predictive_accuracy: 0.9454, prior_entropy: 2.4378, recall: 0.9454, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3631, scimark_benchmark: 1066.7184, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9465, kappa: 0.9333, kb_relative_information_score: 3408.5428, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.947, predictive_accuracy: 0.9467, prior_entropy: 2.4378, recall: 0.9467, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.3652, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.2947, kappa: 0.1411, kb_relative_information_score: 905.7701, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.6081, predictive_accuracy: 0.3877, prior_entropy: 2.4378, recall: 0.3877, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.2382, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9522, kappa: 0.9401, kb_relative_information_score: 3406.0239, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9524, predictive_accuracy: 0.9522, prior_entropy: 2.4378, recall: 0.9522, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3357, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.3495, kappa: 0.3388, kb_relative_information_score: 1319.018, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2757, predictive_accuracy: 0.5019, prior_entropy: 2.4378, recall: 0.5019, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.1167, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9478, kappa: 0.9344, kb_relative_information_score: 3427.8169, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9483, predictive_accuracy: 0.9475, prior_entropy: 2.4378, recall: 0.9475, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3624, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.1434, kb_relative_information_score: 2.7039, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9377, kappa: 0.922, kb_relative_information_score: 3362.2287, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9379, predictive_accuracy: 0.9377, prior_entropy: 2.4378, recall: 0.9377, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3714, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.7356, build_memory: 1194986884.4962, f_measure: 0.9382, kappa: 0.9224, kb_relative_information_score: 3208.7537, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9401, predictive_accuracy: 0.938, prior_entropy: 2.4378, recall: 0.938, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.3468, scimark_benchmark: 709.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 2.8429, build_memory: 196627591.2481, f_measure: 0.9365, kappa: 0.9203, kb_relative_information_score: 3211.4975, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9383, predictive_accuracy: 0.9363, prior_entropy: 2.4378, recall: 0.9363, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3449, scimark_benchmark: 946.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.3076, build_memory: 1166421306.6295, f_measure: 0.9712, kappa: 0.9641, kb_relative_information_score: 3417.7009, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 2.4378, recall: 0.9713, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.268, scimark_benchmark: 944.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.1388, build_memory: 570372767.3443, f_measure: 0.9696, kappa: 0.962, kb_relative_information_score: 3414.9016, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 2.4378, recall: 0.9697, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.2707, scimark_benchmark: 941.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0727, build_memory: 181168588.0284, f_measure: 0.9674, kappa: 0.9593, kb_relative_information_score: 3412.2227, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 2.4378, recall: 0.9675, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2741, scimark_benchmark: 941.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0364, build_memory: 3708476685.7639, f_measure: 0.9679, kappa: 0.96, kb_relative_information_score: 3410.9868, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 2.4378, recall: 0.968, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.276, scimark_benchmark: 943.3065,

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