OpenML
Supervised Classification on veteran

Supervised Classification on veteran

Task 4290 Supervised Classification veteran 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6998, kappa: 0.2856, kb_relative_information_score: 237.452, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6961, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.7042, kappa: 0.3083, kb_relative_information_score: 330.3525, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7023, predictive_accuracy: 0.7066, prior_entropy: 0.9006, recall: 0.7066, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0269, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.73, kappa: 0.3597, kb_relative_information_score: 291.8432, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7273, predictive_accuracy: 0.738, prior_entropy: 0.9006, recall: 0.738, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9091, scimark_benchmark: 1335.5424, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6998, kappa: 0.2856, kb_relative_information_score: 237.452, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6961, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 938.0414, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1337.7947, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6592, kappa: 0.1902, kb_relative_information_score: 135.8729, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6534, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9746, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6694, kappa: 0.2079, kb_relative_information_score: 131.4533, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.665, predictive_accuracy: 0.6883, prior_entropy: 0.9006, recall: 0.6883, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.975, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6659, kappa: 0.2136, kb_relative_information_score: 183.3813, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6619, predictive_accuracy: 0.6715, prior_entropy: 0.9006, recall: 0.6715, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.019, scimark_benchmark: 1318.5627, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.672, kappa: 0.2198, kb_relative_information_score: 142.6096, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7429, predictive_accuracy: 0.7314, prior_entropy: 0.9006, recall: 0.7314, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.932, scimark_benchmark: 1351.6526, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6777, kappa: 0.2317, kb_relative_information_score: 140.9937, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7422, predictive_accuracy: 0.7336, prior_entropy: 0.9006, recall: 0.7336, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.433, root_relative_squared_error: 0.933, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6528, kappa: 0.1729, kb_relative_information_score: 128.8376, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7007, predictive_accuracy: 0.7139, prior_entropy: 0.9006, recall: 0.7139, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9407, scimark_benchmark: 1347.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6659, kappa: 0.201, kb_relative_information_score: 128.0023, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7077, predictive_accuracy: 0.7197, prior_entropy: 0.9006, recall: 0.7197, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7214, kappa: 0.334, kb_relative_information_score: 271.0346, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7206, predictive_accuracy: 0.735, prior_entropy: 0.9006, recall: 0.735, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9167, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7301, kappa: 0.3523, kb_relative_information_score: 237.0418, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.734, predictive_accuracy: 0.7474, prior_entropy: 0.9006, recall: 0.7474, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9174, scimark_benchmark: 1323.7742, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5596, kappa: -0.018, kb_relative_information_score: 8.3969, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.5315, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.6827, kappa: 0.2387, kb_relative_information_score: 342.6473, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6808, predictive_accuracy: 0.7029, prior_entropy: 0.9006, recall: 0.7029, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.521, root_relative_squared_error: 1.1226, scimark_benchmark: 1305.601, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6956, kappa: 0.2835, kb_relative_information_score: 218.225, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6923, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7198, kappa: 0.3399, kb_relative_information_score: 324.1322, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7168, predictive_accuracy: 0.7248, prior_entropy: 0.9006, recall: 0.7248, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9437, scimark_benchmark: 1344.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1334.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6714, kappa: 0.2136, kb_relative_information_score: 199.5844, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6669, predictive_accuracy: 0.6891, prior_entropy: 0.9006, recall: 0.6891, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0548, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6995, kappa: 0.2906, kb_relative_information_score: 277.3527, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6958, predictive_accuracy: 0.7058, prior_entropy: 0.9006, recall: 0.7058, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0675, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1337.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6592, kappa: 0.1902, kb_relative_information_score: 135.8729, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6534, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9746, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.6195, kappa: 0.1566, kb_relative_information_score: 50.9918, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6393, predictive_accuracy: 0.6088, prior_entropy: 0.9006, recall: 0.6088, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.3478, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.7251, kappa: 0.3485, kb_relative_information_score: 261.9274, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7222, predictive_accuracy: 0.7328, prior_entropy: 0.9006, recall: 0.7328, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9319, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.6716, kappa: 0.2474, kb_relative_information_score: 243.7298, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6763, predictive_accuracy: 0.6679, prior_entropy: 0.9006, recall: 0.6679, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.232, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6716, kappa: 0.2474, kb_relative_information_score: 249.6359, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6763, predictive_accuracy: 0.6679, prior_entropy: 0.9006, recall: 0.6679, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.2418, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.7217, kappa: 0.3322, kb_relative_information_score: 489.9707, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7394, prior_entropy: 0.9006, recall: 0.7394, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.1, scimark_benchmark: 1313.0885, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.5966, kappa: 0.0636, kb_relative_information_score: 56.1487, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6779, predictive_accuracy: 0.6949, prior_entropy: 0.9006, recall: 0.6949, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9988, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6828, kappa: 0.2395, kb_relative_information_score: 133.4881, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6804, predictive_accuracy: 0.7022, prior_entropy: 0.9006, recall: 0.7022, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9548, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.6863, kappa: 0.2463, kb_relative_information_score: 188.1694, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6865, predictive_accuracy: 0.7088, prior_entropy: 0.9006, recall: 0.7088, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4663, root_relative_squared_error: 1.0048, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.709, kappa: 0.3062, kb_relative_information_score: 323.5694, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7063, predictive_accuracy: 0.7212, prior_entropy: 0.9006, recall: 0.7212, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0184, scimark_benchmark: 1316.8289, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6631, kappa: 0.1986, kb_relative_information_score: 137.1702, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7261, predictive_accuracy: 0.7241, prior_entropy: 0.9006, recall: 0.7241, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.935, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7298, kappa: 0.36, kb_relative_information_score: 294.2207, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7271, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9283, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6668, kappa: 0.2184, kb_relative_information_score: 143.8724, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6637, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0722, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6668, kappa: 0.2184, kb_relative_information_score: 143.8724, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6637, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0722, scimark_benchmark: 1334.9657, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.724, kappa: 0.3605, kb_relative_information_score: 241.8799, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7246, predictive_accuracy: 0.7234, prior_entropy: 0.9006, recall: 0.7234, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9465, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7209, kappa: 0.353, kb_relative_information_score: 240.0117, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7213, predictive_accuracy: 0.7204, prior_entropy: 0.9006, recall: 0.7204, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9516, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7251, kappa: 0.3485, kb_relative_information_score: 262.0725, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7222, predictive_accuracy: 0.7328, prior_entropy: 0.9006, recall: 0.7328, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.932, scimark_benchmark: 1300.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6454, kappa: 0.1508, kb_relative_information_score: 164.8163, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6687, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9506, scimark_benchmark: 1300.0105, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6956, kappa: 0.2835, kb_relative_information_score: 218.225, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6923, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6998, kappa: 0.2856, kb_relative_information_score: 237.452, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6961, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 918.6005, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7141, kappa: 0.3293, kb_relative_information_score: 336.3885, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7117, predictive_accuracy: 0.7175, prior_entropy: 0.9006, recall: 0.7175, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.453, root_relative_squared_error: 0.976, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.725, kappa: 0.3393, kb_relative_information_score: 237.5857, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7305, predictive_accuracy: 0.7445, prior_entropy: 0.9006, recall: 0.7445, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9158, scimark_benchmark: 1315.1549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6844, kappa: 0.2607, kb_relative_information_score: 315.8506, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6819, predictive_accuracy: 0.6876, prior_entropy: 0.9006, recall: 0.6876, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5589, root_relative_squared_error: 1.2044, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.7025, kappa: 0.3403, kb_relative_information_score: -259.0621, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7214, predictive_accuracy: 0.6942, prior_entropy: 0.9006, recall: 0.6942, relative_absolute_error: 1.0997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0434, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.5584, kb_relative_information_score: -3.5891, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5652, kappa: 0.0127, kb_relative_information_score: -343.4524, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.786, predictive_accuracy: 0.6891, prior_entropy: 0.9006, recall: 0.6891, relative_absolute_error: 1.1431, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0641, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7161, kappa: 0.3379, kb_relative_information_score: 209.7886, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7149, predictive_accuracy: 0.7175, prior_entropy: 0.9006, recall: 0.7175, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9622, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7254, kappa: 0.3432, kb_relative_information_score: 232.6622, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7254, predictive_accuracy: 0.7394, prior_entropy: 0.9006, recall: 0.7394, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9191, scimark_benchmark: 895.5332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7205, kappa: 0.3308, kb_relative_information_score: 239.4045, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7208, predictive_accuracy: 0.7358, prior_entropy: 0.9006, recall: 0.7358, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9245, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7192, kappa: 0.3261, kb_relative_information_score: 250.1594, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7218, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9278, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7527, kappa: 0.4049, kb_relative_information_score: 370.7429, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7957, predictive_accuracy: 0.7825, prior_entropy: 0.9006, recall: 0.7825, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8904, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7346, kappa: 0.3715, kb_relative_information_score: 313.9598, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.732, predictive_accuracy: 0.7416, prior_entropy: 0.9006, recall: 0.7416, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9272, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7332, kappa: 0.3631, kb_relative_information_score: 289.352, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7326, predictive_accuracy: 0.7453, prior_entropy: 0.9006, recall: 0.7453, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9219, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7143, kappa: 0.317, kb_relative_information_score: 254.8154, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.713, predictive_accuracy: 0.7285, prior_entropy: 0.9006, recall: 0.7285, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9279, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6977, kappa: 0.2747, kb_relative_information_score: 202.419, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6974, predictive_accuracy: 0.7168, prior_entropy: 0.9006, recall: 0.7168, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9464, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6877, kappa: 0.2493, kb_relative_information_score: 167.9639, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6888, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9554, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.625, kappa: 0.1052, kb_relative_information_score: 97.1116, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6166, predictive_accuracy: 0.6416, prior_entropy: 0.9006, recall: 0.6416, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0208, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.6498, kappa: 0.1809, kb_relative_information_score: 100.8306, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6473, predictive_accuracy: 0.6526, prior_entropy: 0.9006, recall: 0.6526, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0654, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.679, kappa: 0.2832, kb_relative_information_score: 259.4455, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6947, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.2364, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 310.9458, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6865, kappa: 0.2494, kb_relative_information_score: 369.8033, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6835, predictive_accuracy: 0.7037, prior_entropy: 0.9006, recall: 0.7037, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.1731, scimark_benchmark: 1297.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7047, kappa: 0.2928, kb_relative_information_score: 215.2571, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7037, predictive_accuracy: 0.7212, prior_entropy: 0.9006, recall: 0.7212, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9256, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.6195, kappa: 0.1566, kb_relative_information_score: 50.9918, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6393, predictive_accuracy: 0.6088, prior_entropy: 0.9006, recall: 0.6088, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.3478, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.73, kappa: 0.3597, kb_relative_information_score: 291.8432, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7273, predictive_accuracy: 0.738, prior_entropy: 0.9006, recall: 0.738, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9091, scimark_benchmark: 939.5205, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 1319.5177, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6789, kappa: 0.2584, kb_relative_information_score: 282.1666, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6807, predictive_accuracy: 0.6774, prior_entropy: 0.9006, recall: 0.6774, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2232, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.672, kappa: 0.2101, kb_relative_information_score: 176.9474, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6801, predictive_accuracy: 0.7066, prior_entropy: 0.9006, recall: 0.7066, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.984, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6576, kappa: 0.1759, kb_relative_information_score: 146.8976, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6568, predictive_accuracy: 0.6876, prior_entropy: 0.9006, recall: 0.6876, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0179, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.7065, kappa: 0.3139, kb_relative_information_score: 386.97, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7047, predictive_accuracy: 0.7088, prior_entropy: 0.9006, recall: 0.7088, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.1629, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.7, kappa: 0.2777, kb_relative_information_score: 467.8991, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7179, predictive_accuracy: 0.7328, prior_entropy: 0.9006, recall: 0.7328, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.1138, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6775, kappa: 0.2453, kb_relative_information_score: 243.4831, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6752, predictive_accuracy: 0.6803, prior_entropy: 0.9006, recall: 0.6803, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.1131, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.5934, kappa: 0.0257, kb_relative_information_score: 205.4927, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.5859, predictive_accuracy: 0.6547, prior_entropy: 0.9006, recall: 0.6547, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.2662, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6614, kappa: 0.1916, kb_relative_information_score: 279.0646, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6555, predictive_accuracy: 0.6766, prior_entropy: 0.9006, recall: 0.6766, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5686, root_relative_squared_error: 1.2253, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.5584, kb_relative_information_score: -3.5891, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6995, kappa: 0.2906, kb_relative_information_score: 277.3527, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6958, predictive_accuracy: 0.7058, prior_entropy: 0.9006, recall: 0.7058, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0675, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, build_cpu_time: 0.3799, build_memory: 1013339173.127, f_measure: 0.7181, kappa: 0.338, kb_relative_information_score: 427.5861, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7156, predictive_accuracy: 0.7219, prior_entropy: 0.9006, recall: 0.7219, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.128, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, build_cpu_time: 0.1936, build_memory: 1164992373.6234, f_measure: 0.7194, kappa: 0.3419, kb_relative_information_score: 435.7718, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7171, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.1147, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 0.0858, build_memory: 838120042.0438, f_measure: 0.7312, kappa: 0.3696, kb_relative_information_score: 470.9884, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.729, predictive_accuracy: 0.7343, prior_entropy: 0.9006, recall: 0.7343, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0855, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0442, build_memory: 113791532.6949, f_measure: 0.7325, kappa: 0.37, kb_relative_information_score: 466.2257, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7299, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0819, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, build_cpu_time: 0.0246, build_memory: 1185533316.3329, f_measure: 0.715, kappa: 0.3272, kb_relative_information_score: 436.7985, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7118, predictive_accuracy: 0.7212, prior_entropy: 0.9006, recall: 0.7212, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0785, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, build_cpu_time: 0.3456, build_memory: 1228677242.3533, f_measure: 0.7398, kappa: 0.3757, kb_relative_information_score: 268.9843, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7445, predictive_accuracy: 0.7562, prior_entropy: 0.9006, recall: 0.7562, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9095, scimark_benchmark: 910.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.1111, build_memory: 1602923059.7022, f_measure: 0.7237, kappa: 0.3429, kb_relative_information_score: 262.0004, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7212, predictive_accuracy: 0.7336, prior_entropy: 0.9006, recall: 0.7336, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9259, scimark_benchmark: 937.2283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 0.0432, build_memory: 905121960.0759, f_measure: 0.7183, kappa: 0.3298, kb_relative_information_score: 261.0097, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7155, predictive_accuracy: 0.7285, prior_entropy: 0.9006, recall: 0.7285, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9286, scimark_benchmark: 928.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, build_cpu_time: 0.0348, build_memory: 3813576137.3431, f_measure: 0.7166, kappa: 0.3271, kb_relative_information_score: 260.1416, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7134, predictive_accuracy: 0.7255, prior_entropy: 0.9006, recall: 0.7255, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9311, scimark_benchmark: 941.2063,

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