OpenML
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 30 Supervised Classification page-blocks 1403 runs submitted
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  • at2 basic study_1 study_107 study_41 study_50 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9128, kappa: 0.5808, kb_relative_information_score: 1770.0049, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8945, predictive_accuracy: 0.9322, prior_entropy: 0.6391, recall: 0.9322, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.7871, scimark_benchmark: 1889.2102, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.8258, kb_relative_information_score: 4063.3443, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9665, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.5062, scimark_benchmark: 1275.704, usercpu_time_millis: 560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9717, kappa: 0.8498, kb_relative_information_score: 4297.1933, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9715, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.493, scimark_benchmark: 1299.1889, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9669, kappa: 0.8258, kb_relative_information_score: 4063.3443, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9665, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.5062, scimark_benchmark: 1423.2318, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9264, kappa: 0.6258, kb_relative_information_score: 3018.2401, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9194, predictive_accuracy: 0.9362, prior_entropy: 0.6391, recall: 0.9362, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7706, scimark_benchmark: 1283.5009, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2001.8431, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7977, scimark_benchmark: 1373.416, usercpu_time_millis: 736850, usercpu_time_millis_testing: 736840, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9732, kappa: 0.8598, kb_relative_information_score: 4257.654, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.4724, scimark_benchmark: 1746.9989, usercpu_time_millis: 136610, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 136550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9713, kappa: 0.8486, kb_relative_information_score: 4377.1708, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.971, predictive_accuracy: 0.9719, prior_entropy: 0.6391, recall: 0.9719, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.5278, scimark_benchmark: 1336.8333, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9364, kappa: 0.6614, kb_relative_information_score: 3364.6619, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9356, predictive_accuracy: 0.9448, prior_entropy: 0.6391, recall: 0.9448, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.7048, scimark_benchmark: 1289.2375, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9166, kappa: 0.5653, kb_relative_information_score: -1018.1301, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.939, predictive_accuracy: 0.9041, prior_entropy: 0.6391, recall: 0.9041, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9692, scimark_benchmark: 1280.1334, usercpu_time_millis: 1100, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9683, kappa: 0.8327, kb_relative_information_score: 4329.704, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.6391, recall: 0.9686, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.5419, scimark_benchmark: 1369.1464, usercpu_time_millis: 133800, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 133700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.956, kappa: 0.7644, kb_relative_information_score: 3777.0719, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9557, predictive_accuracy: 0.9565, prior_entropy: 0.6391, recall: 0.9565, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.6769, scimark_benchmark: 1346.5833, usercpu_time_millis: 51610, usercpu_time_millis_testing: 18930, usercpu_time_millis_training: 32680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.946, kappa: 0.7102, kb_relative_information_score: 3471.8882, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9476, predictive_accuracy: 0.9465, prior_entropy: 0.6391, recall: 0.9465, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.7444, scimark_benchmark: 1311.852, usercpu_time_millis: 1450, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2463.4327, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.849, scimark_benchmark: 1338.3489, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9506, kappa: 0.7401, kb_relative_information_score: 3651.2984, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9496, predictive_accuracy: 0.9521, prior_entropy: 0.6391, recall: 0.9521, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.605, scimark_benchmark: 1281.7319, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9713, kappa: 0.8498, kb_relative_information_score: 4293.827, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9711, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4879, scimark_benchmark: 1295.4432, usercpu_time_millis: 940, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 1716.7112, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.7849, scimark_benchmark: 1274.5322, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.8502, kappa: 0.0065, kb_relative_information_score: -17305.2521, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8662, predictive_accuracy: 0.898, prior_entropy: 0.6391, recall: 0.898, relative_absolute_error: 3.2346, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.3261, root_relative_squared_error: 1.6735, scimark_benchmark: 1285.3419, usercpu_time_millis: 16580, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 14700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9683, kappa: 0.8346, kb_relative_information_score: 4250.313, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9694, predictive_accuracy: 0.9675, prior_entropy: 0.6391, recall: 0.9675, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.5223, scimark_benchmark: 1192.0775, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1284.6748, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.973, kappa: 0.8581, kb_relative_information_score: 4307.6362, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9729, predictive_accuracy: 0.9737, prior_entropy: 0.6391, recall: 0.9737, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.4651, scimark_benchmark: 1195.5401, usercpu_time_millis: 7510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9721, kappa: 0.8541, kb_relative_information_score: 4310.2519, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.972, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4743, scimark_benchmark: 1931.637, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9607, kappa: 0.7896, kb_relative_information_score: 4018.1023, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9602, predictive_accuracy: 0.962, prior_entropy: 0.6391, recall: 0.962, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5635, scimark_benchmark: 1867.3484, usercpu_time_millis: 13020, usercpu_time_millis_testing: 13010, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 1779.6282, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.8066, scimark_benchmark: 1332.3533, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.9583, kappa: 0.7761, kb_relative_information_score: 3836.6018, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9577, predictive_accuracy: 0.9594, prior_entropy: 0.6391, recall: 0.9594, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.649, scimark_benchmark: 1392.4837, usercpu_time_millis: 58290, usercpu_time_millis_testing: 19590, usercpu_time_millis_training: 38700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9417, kappa: 0.7106, kb_relative_information_score: 3249.3404, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9537, predictive_accuracy: 0.9348, prior_entropy: 0.6391, recall: 0.9348, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.148, root_relative_squared_error: 0.7597, scimark_benchmark: 1639.2835, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9709, kappa: 0.8469, kb_relative_information_score: 4393.0668, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9706, predictive_accuracy: 0.9719, prior_entropy: 0.6391, recall: 0.9719, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.5263, scimark_benchmark: 1619.1455, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9721, kappa: 0.8524, kb_relative_information_score: 4421.2035, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.972, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.5264, scimark_benchmark: 1350.1872, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9739, kappa: 0.8624, kb_relative_information_score: 4463.0524, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9737, predictive_accuracy: 0.9744, prior_entropy: 0.6391, recall: 0.9744, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.5155, scimark_benchmark: 1318.898, usercpu_time_millis: 980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9353, kappa: 0.6563, kb_relative_information_score: 3278.0381, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9435, prior_entropy: 0.6391, recall: 0.9435, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.7342, scimark_benchmark: 1256.2376, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9727, kappa: 0.8571, kb_relative_information_score: 4446.9571, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9726, predictive_accuracy: 0.9733, prior_entropy: 0.6391, recall: 0.9733, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.511, scimark_benchmark: 1337.8213, usercpu_time_millis: 5220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9544, kappa: 0.7539, kb_relative_information_score: 2260.518, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9542, predictive_accuracy: 0.9571, prior_entropy: 0.6391, recall: 0.9571, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.6419, scimark_benchmark: 1397.1211, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9598, kappa: 0.7831, kb_relative_information_score: 3765.798, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9596, predictive_accuracy: 0.9616, prior_entropy: 0.6391, recall: 0.9616, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5578, scimark_benchmark: 1390.9854, usercpu_time_millis: 2350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9721, kappa: 0.8539, kb_relative_information_score: 4331.6156, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9719, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.5045, scimark_benchmark: 1380.7692, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9656, kappa: 0.8194, kb_relative_information_score: 4148.8279, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 0.6391, recall: 0.9655, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.6026, scimark_benchmark: 1333.2417, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9699, kappa: 0.8424, kb_relative_information_score: 3980.0015, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9697, predictive_accuracy: 0.9704, prior_entropy: 0.6391, recall: 0.9704, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.5176, scimark_benchmark: 1313.6388, usercpu_time_millis: 1830, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9673, kappa: 0.8271, kb_relative_information_score: 4084.4773, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.967, predictive_accuracy: 0.9686, prior_entropy: 0.6391, recall: 0.9686, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.5033, scimark_benchmark: 1385.8316, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9665, kappa: 0.824, kb_relative_information_score: 3815.7967, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9677, predictive_accuracy: 0.9693, prior_entropy: 0.6391, recall: 0.9693, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.099, root_relative_squared_error: 0.5079, scimark_benchmark: 1383.4118, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9707, kappa: 0.8454, kb_relative_information_score: 4304.4663, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9704, predictive_accuracy: 0.9713, prior_entropy: 0.6391, recall: 0.9713, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4938, scimark_benchmark: 1699.883, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8239, kb_relative_information_score: 4077.7992, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9663, predictive_accuracy: 0.968, prior_entropy: 0.6391, recall: 0.968, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.505, scimark_benchmark: 1534.6985, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.8493, kb_relative_information_score: -6.0138, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.6391, recall: 0.8977, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1949, root_relative_squared_error: 1, scimark_benchmark: 1339.8699, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9716, kappa: 0.852, kb_relative_information_score: 4098.4435, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9719, predictive_accuracy: 0.9731, prior_entropy: 0.6391, recall: 0.9731, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4804, scimark_benchmark: 1532.3492, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9651, kappa: 0.815, kb_relative_information_score: 4108.8578, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.6391, recall: 0.9651, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.6038, scimark_benchmark: 1394.8319, usercpu_time_millis: 165950, usercpu_time_millis_testing: 165910, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9712, kappa: 0.8487, kb_relative_information_score: 4289.5207, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.6391, recall: 0.9713, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.52, scimark_benchmark: 1461.5029, usercpu_time_millis: 389490, usercpu_time_millis_testing: 389450, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2048.3488, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.7962, scimark_benchmark: 1494.2243, usercpu_time_millis: 48780, usercpu_time_millis_testing: 48750, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9691, kappa: 0.8358, kb_relative_information_score: 4287.1002, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9687, predictive_accuracy: 0.9702, prior_entropy: 0.6391, recall: 0.9702, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.5087, scimark_benchmark: 1534.4547, usercpu_time_millis: 104090, usercpu_time_millis_testing: 104040, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9455, kappa: 0.7073, kb_relative_information_score: 3498.5144, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9478, predictive_accuracy: 0.9456, prior_entropy: 0.6391, recall: 0.9456, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.7044, scimark_benchmark: 1300.663, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9714, kappa: 0.8485, kb_relative_information_score: 4370.7271, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9712, predictive_accuracy: 0.9722, prior_entropy: 0.6391, recall: 0.9722, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.4662, scimark_benchmark: 1373.7056, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9264, kappa: 0.6258, kb_relative_information_score: 3018.2401, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9194, predictive_accuracy: 0.9362, prior_entropy: 0.6391, recall: 0.9362, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7706, scimark_benchmark: 1398.4183, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9469, kappa: 0.7164, kb_relative_information_score: 3568.1046, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9481, predictive_accuracy: 0.9474, prior_entropy: 0.6391, recall: 0.9474, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6757, scimark_benchmark: 1402.4545, usercpu_time_millis: 660, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2033.0402, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.7964, scimark_benchmark: 1590.0299, usercpu_time_millis: 413430, usercpu_time_millis_testing: 413390, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9725, kappa: 0.8557, kb_relative_information_score: 4264.3473, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9724, predictive_accuracy: 0.9728, prior_entropy: 0.6391, recall: 0.9728, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.092, root_relative_squared_error: 0.4721, scimark_benchmark: 1509.9052, usercpu_time_millis: 118660, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 118610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9716, kappa: 0.8509, kb_relative_information_score: 4291.3186, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9714, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.478, scimark_benchmark: 1410.1014, usercpu_time_millis: 5930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9721, kappa: 0.8543, kb_relative_information_score: 4316.0709, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.972, predictive_accuracy: 0.9728, prior_entropy: 0.6391, recall: 0.9728, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.4764, scimark_benchmark: 1350.5109, usercpu_time_millis: 580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9581, kappa: 0.7753, kb_relative_information_score: 3879.6169, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9574, predictive_accuracy: 0.9593, prior_entropy: 0.6391, recall: 0.9593, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5803, scimark_benchmark: 1378.1115, usercpu_time_millis: 20560, usercpu_time_millis_testing: 20510, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 1779.6282, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.8066, scimark_benchmark: 1575.8153, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9701, kappa: 0.8412, kb_relative_information_score: 4411.5891, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9698, predictive_accuracy: 0.9706, prior_entropy: 0.6391, recall: 0.9706, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.5051, scimark_benchmark: 1436.9742, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9731, kappa: 0.8576, kb_relative_information_score: 4420.6209, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.973, predictive_accuracy: 0.9733, prior_entropy: 0.6391, recall: 0.9733, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.5162, scimark_benchmark: 1489.1234, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9389, kappa: 0.6729, kb_relative_information_score: 3379.0221, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9379, predictive_accuracy: 0.9459, prior_entropy: 0.6391, recall: 0.9459, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6976, scimark_benchmark: 1560.9328, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9455, kappa: 0.7073, kb_relative_information_score: 2625.8169, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9478, predictive_accuracy: 0.9456, prior_entropy: 0.6391, recall: 0.9456, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.7075, scimark_benchmark: 1527.5702, usercpu_time_millis: 670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9731, kappa: 0.8581, kb_relative_information_score: 4479.1842, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.973, predictive_accuracy: 0.9733, prior_entropy: 0.6391, recall: 0.9733, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.5088, scimark_benchmark: 1493.0894, usercpu_time_millis: 77000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 76940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9714, kappa: 0.8498, kb_relative_information_score: 4429.3573, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6391, recall: 0.9717, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.5224, scimark_benchmark: 1451.8847, usercpu_time_millis: 1160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.9554, kappa: 0.7618, kb_relative_information_score: 3757.0567, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9551, predictive_accuracy: 0.956, prior_entropy: 0.6391, recall: 0.956, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6779, scimark_benchmark: 1481.3823, usercpu_time_millis: 50760, usercpu_time_millis_testing: 16890, usercpu_time_millis_training: 33870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9691, kappa: 0.839, kb_relative_information_score: 4225.817, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9696, predictive_accuracy: 0.9688, prior_entropy: 0.6391, recall: 0.9688, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.098, root_relative_squared_error: 0.5029, scimark_benchmark: 1429.4097, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9698, kappa: 0.8435, kb_relative_information_score: 4167.6915, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9705, predictive_accuracy: 0.9695, prior_entropy: 0.6391, recall: 0.9695, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.521, scimark_benchmark: 1632.7839, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.8502, kappa: 0.0065, kb_relative_information_score: -17305.2521, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8662, predictive_accuracy: 0.898, prior_entropy: 0.6391, recall: 0.898, relative_absolute_error: 3.2346, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.3261, root_relative_squared_error: 1.6735, scimark_benchmark: 1565.2426, usercpu_time_millis: 14400, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 13020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.8973, kappa: 0.3842, kb_relative_information_score: -16999.2111, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9145, predictive_accuracy: 0.9223, prior_entropy: 0.6391, recall: 0.9223, relative_absolute_error: 3.2095, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.658, scimark_benchmark: 1451.3367, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,

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