OpenML
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 3724 Supervised Classification vinnie 747 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.842, kappa: 0.6838, kb_relative_information_score: 223.6816, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6688, scimark_benchmark: 1320.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 212.8277, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6926, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8367, kappa: 0.6732, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.837, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, scimark_benchmark: 1151.3336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.5121, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6957, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.0463, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6657, scimark_benchmark: 944.0517, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8446, kappa: 0.689, kb_relative_information_score: 201.7537, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8451, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7175, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7513, kappa: 0.5073, kb_relative_information_score: 193.814, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7677, predictive_accuracy: 0.7553, prior_entropy: 0.9995, recall: 0.7553, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9898, scimark_benchmark: 923.6051, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8474, kappa: 0.6946, kb_relative_information_score: 263.8833, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8474, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816, scimark_benchmark: 1316.7714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 182.2046, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038, scimark_benchmark: 1248.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8369, kappa: 0.6737, kb_relative_information_score: 205.4225, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8373, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.721, scimark_benchmark: 1316.8289, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 116.8708, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.793, scimark_benchmark: 1334.4761, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 124.3503, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7809, scimark_benchmark: 891.9953, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8394, kappa: 0.6785, kb_relative_information_score: 223.9203, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8396, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6683, scimark_benchmark: 1329.8902, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 223.0228, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6739, scimark_benchmark: 1307.9718, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 253.8734, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8146, scimark_benchmark: 1307.8606, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8184, kappa: 0.6372, kb_relative_information_score: 188.8734, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8202, predictive_accuracy: 0.8184, prior_entropy: 0.9995, recall: 0.8184, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7685, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 207.1955, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6689, scimark_benchmark: 1315.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7448, kappa: 0.4892, kb_relative_information_score: 185.8061, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7448, predictive_accuracy: 0.7447, prior_entropy: 0.9995, recall: 0.7447, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0108, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.829, kappa: 0.658, kb_relative_information_score: 208.7895, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8296, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6908, scimark_benchmark: 1329.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.829, kappa: 0.658, kb_relative_information_score: 208.1799, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8296, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6906, scimark_benchmark: 1332.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 182.2046, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8369, kappa: 0.6735, kb_relative_information_score: 215.3746, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8369, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6897, scimark_benchmark: 1342.362, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 182.2046, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038, scimark_benchmark: 1341.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 119.8567, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7878, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8368, kappa: 0.6734, kb_relative_information_score: 224.157, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6686, scimark_benchmark: 1324.8395, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8394, kappa: 0.6786, kb_relative_information_score: 211.042, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6837, scimark_benchmark: 1413.089, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.842, kappa: 0.6838, kb_relative_information_score: 211.6579, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.683, scimark_benchmark: 1366.0221, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8184, kappa: 0.6372, kb_relative_information_score: 188.8734, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8202, predictive_accuracy: 0.8184, prior_entropy: 0.9995, recall: 0.8184, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7685, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3021, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7535, kappa: 0.5213, kb_relative_information_score: 99.3627, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8028, predictive_accuracy: 0.7632, prior_entropy: 0.9995, recall: 0.7632, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8335, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 259.849, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7654, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 260.8885, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7681, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 259.8062, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7761, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.2266, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7774, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.7897, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.775, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8368, kappa: 0.6734, kb_relative_information_score: 224.157, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6686, scimark_benchmark: 938.4285, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8368, kappa: 0.6734, kb_relative_information_score: 224.1383, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6686, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8394, kappa: 0.6785, kb_relative_information_score: 223.9203, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8396, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6683, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.842, kappa: 0.6838, kb_relative_information_score: 223.6816, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6688, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 223.0228, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6739, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.0432, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8211, kappa: 0.6422, kb_relative_information_score: 220.8112, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8215, predictive_accuracy: 0.8211, prior_entropy: 0.9995, recall: 0.8211, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6661, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 233.8956, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.701, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.5121, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6957, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.0432, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 222.4746, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6703, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3481, kb_relative_information_score: 9.632, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6977, root_relative_squared_error: 1.396, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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