Task
Supervised Classification on analcatdata_marketing

Supervised Classification on analcatdata_marketing

Task 3563 Supervised Classification analcatdata_marketing 324 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5557, kappa: 0.2285, kb_relative_information_score: -2.1668, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5493, predictive_accuracy: 0.5773, prior_entropy: 1.6141, recall: 0.5773, relative_absolute_error: 1.1272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3555, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.4997, kappa: 0.1303, kb_relative_information_score: 67.3883, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4892, predictive_accuracy: 0.5166, prior_entropy: 1.6141, recall: 0.5166, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.0126, scimark_benchmark: 851.2074, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 904.6764, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 941.6675, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.5509, kappa: 0.2259, kb_relative_information_score: 77.2264, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5438, predictive_accuracy: 0.5884, prior_entropy: 1.6141, recall: 0.5884, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9523, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.4577, kappa: 0.0538, kb_relative_information_score: 43.1249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4468, predictive_accuracy: 0.4751, prior_entropy: 1.6141, recall: 0.4751, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.2224, scimark_benchmark: 927.2917, usercpu_time_millis: 3330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 941.3847, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.4577, kappa: 0.0538, kb_relative_information_score: 43.1249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4468, predictive_accuracy: 0.4751, prior_entropy: 1.6141, recall: 0.4751, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.2224, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 947.1781, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.4997, kappa: 0.1303, kb_relative_information_score: 67.3883, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4892, predictive_accuracy: 0.5166, prior_entropy: 1.6141, recall: 0.5166, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.0126, scimark_benchmark: 944.0133, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 934.5964, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5252, kappa: 0.2041, kb_relative_information_score: 73.054, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5279, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.1047, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.5509, kappa: 0.2259, kb_relative_information_score: 77.2264, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5438, predictive_accuracy: 0.5884, prior_entropy: 1.6141, recall: 0.5884, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9523, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.4577, kappa: 0.0538, kb_relative_information_score: 43.1249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4468, predictive_accuracy: 0.4751, prior_entropy: 1.6141, recall: 0.4751, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.2224, scimark_benchmark: 941.3057, usercpu_time_millis: 3210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 936.3213, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.5005, kappa: 0.1237, kb_relative_information_score: 57.1175, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5118, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.9549, scimark_benchmark: 851.2074, usercpu_time_millis: 25820, usercpu_time_millis_testing: 6660, usercpu_time_millis_training: 19160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.5171, kappa: 0.1564, kb_relative_information_score: 61.3164, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5435, predictive_accuracy: 0.5829, prior_entropy: 1.6141, recall: 0.5829, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9485, scimark_benchmark: 938.988, usercpu_time_millis: 13400, usercpu_time_millis_testing: 2700, usercpu_time_millis_training: 10700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.5241, kappa: 0.1605, kb_relative_information_score: 61.0257, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5461, predictive_accuracy: 0.5746, prior_entropy: 1.6141, recall: 0.5746, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9598, scimark_benchmark: 921.2615, usercpu_time_millis: 6710, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 5270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.5293, kappa: 0.1814, kb_relative_information_score: 57.7993, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5213, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.9753, scimark_benchmark: 934.6244, usercpu_time_millis: 3800, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.5466, kappa: 0.2065, kb_relative_information_score: 68.4719, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.537, predictive_accuracy: 0.5856, prior_entropy: 1.6141, recall: 0.5856, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.332, root_relative_squared_error: 0.9668, scimark_benchmark: 936.1714, usercpu_time_millis: 1750, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.403, kb_relative_information_score: 0.1504, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3434, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.4232, kappa: 0.0443, kb_relative_information_score: -9.286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3435, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0483, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.4232, kappa: 0.0443, kb_relative_information_score: -9.286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3435, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0483, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.4232, kappa: 0.0443, kb_relative_information_score: -9.286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3435, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0483, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.4232, kappa: 0.0443, kb_relative_information_score: -9.286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3435, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0483, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.4232, kappa: 0.0443, kb_relative_information_score: -9.286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3435, predictive_accuracy: 0.5718, prior_entropy: 1.6141, recall: 0.5718, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0483, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.5055, kappa: 0.1495, kb_relative_information_score: 10.2413, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4927, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 1.0955, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.0276, scimark_benchmark: 905.2109, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.5509, kappa: 0.2259, kb_relative_information_score: 77.2264, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5438, predictive_accuracy: 0.5884, prior_entropy: 1.6141, recall: 0.5884, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9523, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 1316.5396, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 1326.2019, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 1317.5348, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.4554, kappa: 0.1031, kb_relative_information_score: 42.8006, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4681, predictive_accuracy: 0.4475, prior_entropy: 1.6141, recall: 0.4475, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.3372, scimark_benchmark: 1321.4771, usercpu_time_millis: 1030, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.4997, kappa: 0.1303, kb_relative_information_score: 67.3883, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4892, predictive_accuracy: 0.5166, prior_entropy: 1.6141, recall: 0.5166, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.0126, scimark_benchmark: 1314.2279, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 1334.9442, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1347.7267, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.4577, kappa: 0.0538, kb_relative_information_score: 43.1249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4468, predictive_accuracy: 0.4751, prior_entropy: 1.6141, recall: 0.4751, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.2224, scimark_benchmark: 1336.4564, usercpu_time_millis: 3160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 1280.9535, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 1337.797, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1337.797, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.4577, kappa: 0.0538, kb_relative_information_score: 43.1249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4468, predictive_accuracy: 0.4751, prior_entropy: 1.6141, recall: 0.4751, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.2224, scimark_benchmark: 1333.202, usercpu_time_millis: 3250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.4861, kappa: 0.0935, kb_relative_information_score: 51.0577, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.4683, predictive_accuracy: 0.558, prior_entropy: 1.6141, recall: 0.558, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9592, scimark_benchmark: 1357.7543, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 70.1968, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 1346.9165, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5252, kappa: 0.2041, kb_relative_information_score: 73.054, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5279, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.1047, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5158, kappa: 0.1689, kb_relative_information_score: 69.6485, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.512, predictive_accuracy: 0.5249, prior_entropy: 1.6141, recall: 0.5249, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0864, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.5509, kappa: 0.2259, kb_relative_information_score: 77.2264, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5438, predictive_accuracy: 0.5884, prior_entropy: 1.6141, recall: 0.5884, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9523, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5252, kappa: 0.2041, kb_relative_information_score: 73.054, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2369, number_of_instances: 362, precision: 0.5279, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.1047, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs