Task
Supervised Classification on oh5.wc

Supervised Classification on oh5.wc

Task 3529 Supervised Classification oh5.wc 242 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7761, kappa: 0.7491, kb_relative_information_score: 232.6355, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7902, predictive_accuracy: 0.7789, prior_entropy: 3.2382, recall: 0.7789, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9265, scimark_benchmark: 933.3136, usercpu_time_millis: 2170, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8773, kappa: 0.8612, kb_relative_information_score: 789.371, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8788, predictive_accuracy: 0.8769, prior_entropy: 3.2382, recall: 0.8769, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4659, scimark_benchmark: 885.0921, usercpu_time_millis: 221860, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 220800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.896, kappa: 0.8832, kb_relative_information_score: 812.6379, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8971, predictive_accuracy: 0.8965, prior_entropy: 3.2382, recall: 0.8965, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4829, scimark_benchmark: 916.5955, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.5333, kappa: 0.4833, kb_relative_information_score: 447.7987, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8172, predictive_accuracy: 0.5523, prior_entropy: 3.2382, recall: 0.5523, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0044, scimark_benchmark: 1306.6379, usercpu_time_millis: 2330, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8189, kappa: 0.8016, kb_relative_information_score: 455.663, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8556, predictive_accuracy: 0.8257, prior_entropy: 3.2382, recall: 0.8257, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.226, root_relative_squared_error: 0.7587, scimark_benchmark: 1318.1432, usercpu_time_millis: 10020, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 9670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.4028, kappa: 0.3263, kb_relative_information_score: 330.9178, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.4049, predictive_accuracy: 0.402, prior_entropy: 3.2382, recall: 0.402, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3458, root_relative_squared_error: 1.1609, scimark_benchmark: 1316.0472, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8147, kappa: 0.7887, kb_relative_information_score: 710.8942, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8227, predictive_accuracy: 0.8126, prior_entropy: 3.2382, recall: 0.8126, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5464, scimark_benchmark: 1319.6463, usercpu_time_millis: 7980, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8446, kappa: 0.8229, kb_relative_information_score: 743.488, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.854, predictive_accuracy: 0.8431, prior_entropy: 3.2382, recall: 0.8431, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.501, scimark_benchmark: 1309.3173, usercpu_time_millis: 59080, usercpu_time_millis_training: 59080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6735, kappa: 0.6616, kb_relative_information_score: 614.2929, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7689, predictive_accuracy: 0.7026, prior_entropy: 3.2382, recall: 0.7026, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.8186, scimark_benchmark: 1355.9413, usercpu_time_millis: 93240, usercpu_time_millis_testing: 51420, usercpu_time_millis_training: 41820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.012, kb_relative_information_score: 36.6099, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0065, predictive_accuracy: 0.0806, prior_entropy: 3.2382, recall: 0.0806, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.4394, scimark_benchmark: 1339.4189, usercpu_time_millis: 27600, usercpu_time_millis_testing: 5340, usercpu_time_millis_training: 22260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8065, kappa: 0.7777, kb_relative_information_score: 716.6331, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8138, predictive_accuracy: 0.8028, prior_entropy: 3.2382, recall: 0.8028, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6523, scimark_benchmark: 1466.6185, usercpu_time_millis: 58830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 58820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.1249, kappa: 0.1151, kb_relative_information_score: 161.6264, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0831, predictive_accuracy: 0.256, prior_entropy: 3.2382, recall: 0.256, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2948, scimark_benchmark: 1465.2979, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7569, kappa: 0.7207, kb_relative_information_score: 673.078, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7688, predictive_accuracy: 0.7527, prior_entropy: 3.2382, recall: 0.7527, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.7465, scimark_benchmark: 1335.643, usercpu_time_millis: 328950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 328940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8118, kappa: 0.7864, kb_relative_information_score: 729.2281, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8159, predictive_accuracy: 0.8105, prior_entropy: 3.2382, recall: 0.8105, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6199, scimark_benchmark: 1466.6185, usercpu_time_millis: 16880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 16870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.7994, kappa: 0.7752, kb_relative_information_score: 721.1514, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8038, predictive_accuracy: 0.8007, prior_entropy: 3.2382, recall: 0.8007, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6586, scimark_benchmark: 942.3168, usercpu_time_millis: 265600, usercpu_time_millis_testing: 96400, usercpu_time_millis_training: 169200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.7898, kappa: 0.7641, kb_relative_information_score: 713.3569, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7947, predictive_accuracy: 0.7909, prior_entropy: 3.2382, recall: 0.7909, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.679, scimark_benchmark: 908.0036, usercpu_time_millis: 559470, usercpu_time_millis_testing: 190380, usercpu_time_millis_training: 369090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.7836, kappa: 0.757, kb_relative_information_score: 707.8449, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7896, predictive_accuracy: 0.7843, prior_entropy: 3.2382, recall: 0.7843, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6932, scimark_benchmark: 945.6434, usercpu_time_millis: 1125020, usercpu_time_millis_testing: 373510, usercpu_time_millis_training: 751510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7823, kappa: 0.7558, kb_relative_information_score: 705.6453, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7872, predictive_accuracy: 0.7832, prior_entropy: 3.2382, recall: 0.7832, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6957, scimark_benchmark: 911.0478, usercpu_time_millis: 2379580, usercpu_time_millis_testing: 780080, usercpu_time_millis_training: 1599500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7707, kappa: 0.7424, kb_relative_information_score: 693.9227, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7756, predictive_accuracy: 0.7712, prior_entropy: 3.2382, recall: 0.7712, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.7179, scimark_benchmark: 940.2922, usercpu_time_millis: 4671630, usercpu_time_millis_testing: 1511410, usercpu_time_millis_training: 3160220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559, scimark_benchmark: 936.7115, usercpu_time_millis: 1470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559, scimark_benchmark: 936.7115, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559, scimark_benchmark: 938.2848, usercpu_time_millis: 1290, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559, scimark_benchmark: 938.4285, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559, scimark_benchmark: 938.4285, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8948, kappa: 0.8809, kb_relative_information_score: 815.8973, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8968, predictive_accuracy: 0.8943, prior_entropy: 3.2382, recall: 0.8943, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4453, scimark_benchmark: 902.4773, usercpu_time_millis: 3071370, usercpu_time_millis_training: 3071370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8978, kappa: 0.8845, kb_relative_information_score: 814.4701, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8995, predictive_accuracy: 0.8976, prior_entropy: 3.2382, recall: 0.8976, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4272, scimark_benchmark: 941.7954, usercpu_time_millis: 1547210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1547200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8902, kappa: 0.8759, kb_relative_information_score: 803.3624, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8917, predictive_accuracy: 0.89, prior_entropy: 3.2382, recall: 0.89, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4306, scimark_benchmark: 933.1776, usercpu_time_millis: 778720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 778710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8844, kappa: 0.8698, kb_relative_information_score: 783.6708, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.885, predictive_accuracy: 0.8845, prior_entropy: 3.2382, recall: 0.8845, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4443, scimark_benchmark: 910.8389, usercpu_time_millis: 378160, usercpu_time_millis_training: 378160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8731, kappa: 0.8563, kb_relative_information_score: 752.372, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8747, predictive_accuracy: 0.8725, prior_entropy: 3.2382, recall: 0.8725, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.14, root_relative_squared_error: 0.47, scimark_benchmark: 938.9865, usercpu_time_millis: 190620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.6702, kappa: 0.6419, kb_relative_information_score: 473.1717, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.69, predictive_accuracy: 0.6841, prior_entropy: 3.2382, recall: 0.6841, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7748, scimark_benchmark: 902.4773, usercpu_time_millis: 2120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8696, kappa: 0.8526, kb_relative_information_score: 747.4969, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8714, predictive_accuracy: 0.8693, prior_entropy: 3.2382, recall: 0.8693, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4746, scimark_benchmark: 947.9494, usercpu_time_millis: 204320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 204310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 83.5767, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.4093, root_relative_squared_error: 1.3739, scimark_benchmark: 947.9494, usercpu_time_millis: 230, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8358, kappa: 0.813, kb_relative_information_score: 699.1153, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.844, predictive_accuracy: 0.8344, prior_entropy: 3.2382, recall: 0.8344, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.525, scimark_benchmark: 889.9795, usercpu_time_millis: 249520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 249350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8334, kappa: 0.8092, kb_relative_information_score: 682.3985, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8471, predictive_accuracy: 0.8312, prior_entropy: 3.2382, recall: 0.8312, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5537, scimark_benchmark: 947.9494, usercpu_time_millis: 2327630, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2327110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.4272, kappa: 0.3953, kb_relative_information_score: 158.8912, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.5109, predictive_accuracy: 0.4815, prior_entropy: 3.2382, recall: 0.4815, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.9235, scimark_benchmark: 917.7039, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9031, kappa: 0.8893, kb_relative_information_score: 818.5304, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.9088, predictive_accuracy: 0.902, prior_entropy: 3.2382, recall: 0.902, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4597, scimark_benchmark: 945.9253, usercpu_time_millis: 1436980, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 1436120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9018, kappa: 0.888, kb_relative_information_score: 815.7499, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.9073, predictive_accuracy: 0.9009, prior_entropy: 3.2382, recall: 0.9009, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4708, scimark_benchmark: 917.4321, usercpu_time_millis: 3161730, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 3158160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9096, kappa: 0.8967, kb_relative_information_score: 824.6216, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.915, predictive_accuracy: 0.9085, prior_entropy: 3.2382, recall: 0.9085, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.4519, scimark_benchmark: 943.2745, usercpu_time_millis: 6217160, usercpu_time_millis_testing: 3450, usercpu_time_millis_training: 6213710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, build_cpu_time: 339.5821, build_memory: 830138791.4858, f_measure: 0.855, kappa: 0.8287, kb_relative_information_score: 740.805, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8776, predictive_accuracy: 0.8486, prior_entropy: 3.2382, recall: 0.8486, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5072, scimark_benchmark: 939.4549,

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