OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 241.2498, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1254.5845, usercpu_time_millis: 16.731, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 15.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.1588, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1266.073, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7597, kappa: 0.4655, kb_relative_information_score: 255.9984, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.828, scimark_benchmark: 1261.0842, usercpu_time_millis: 14.521, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 13.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7133, kappa: 0.3555, kb_relative_information_score: 133.3448, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814, scimark_benchmark: 1258.8304, usercpu_time_millis: 12.266, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 10.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7426, kappa: 0.4294, kb_relative_information_score: 261.4963, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8571, scimark_benchmark: 1250.5881, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7448, kappa: 0.4249, kb_relative_information_score: 152.5222, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1265.2235, usercpu_time_millis: 5.889, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 5.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7678, kappa: 0.4819, kb_relative_information_score: 249.8184, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 1263.8228, usercpu_time_millis: 22.054, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 20.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 265.6406, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8373, scimark_benchmark: 1271.0077, usercpu_time_millis: 26.704, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 25.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.0946, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1267.8985, usercpu_time_millis: 7.674, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 6.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0759, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1264.2515, usercpu_time_millis: 5.893, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 5.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 255.7479, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8399, scimark_benchmark: 1258.6712, usercpu_time_millis: 22.483, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 20.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7687, kappa: 0.4835, kb_relative_information_score: 234.5509, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1260.4585, usercpu_time_millis: 16.184, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 14.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5134, kb_relative_information_score: -2.1488, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1258.1546, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 248.0485, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1253.967, usercpu_time_millis: 27.937, usercpu_time_millis_testing: 2.376, usercpu_time_millis_training: 25.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7615, kappa: 0.4659, kb_relative_information_score: 229.7064, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1255.0795, usercpu_time_millis: 15.758, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 14.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 253.0984, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8309, scimark_benchmark: 1257.7905, usercpu_time_millis: 27.549, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 25.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 255.4252, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1265.9425, usercpu_time_millis: 79.635, usercpu_time_millis_testing: 4.277, usercpu_time_millis_training: 75.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7677, kappa: 0.4852, kb_relative_information_score: 262.4433, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8479, scimark_benchmark: 1261.1437, usercpu_time_millis: 49.51, usercpu_time_millis_testing: 3.068, usercpu_time_millis_training: 46.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.766, kappa: 0.4763, kb_relative_information_score: 230.734, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1262.7927, usercpu_time_millis: 12.663, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 11.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7529, kappa: 0.4437, kb_relative_information_score: 170.5545, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8577, scimark_benchmark: 1251.885, usercpu_time_millis: 3.598, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7367, kappa: 0.4201, kb_relative_information_score: 253.4939, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7365, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.889, scimark_benchmark: 1259.8593, usercpu_time_millis: 85.749, usercpu_time_millis_testing: 5.838, usercpu_time_millis_training: 79.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 245.6261, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1264.3126, usercpu_time_millis: 26.023, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 24.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 233.0793, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1248.07, usercpu_time_millis: 23.74, usercpu_time_millis_testing: 2.42, usercpu_time_millis_training: 21.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 248.7635, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1254.1795, usercpu_time_millis: 24.664, usercpu_time_millis_testing: 2.701, usercpu_time_millis_training: 21.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 246.6019, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8263, scimark_benchmark: 1252.8864, usercpu_time_millis: 34.895, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 32.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 244.0535, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1251.9089, usercpu_time_millis: 11.632, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 10.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7587, kappa: 0.4584, kb_relative_information_score: 211.3132, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1258.1421, usercpu_time_millis: 16.452, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 14.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.6994, kappa: 0.3256, kb_relative_information_score: 113.2875, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7358, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9008, scimark_benchmark: 1259.152, usercpu_time_millis: 6.301, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 5.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 242.9711, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1260.7973, usercpu_time_millis: 32.23, usercpu_time_millis_testing: 2.8, usercpu_time_millis_training: 29.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7729, kappa: 0.4949, kb_relative_information_score: 253.0091, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.772, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1258.6932, usercpu_time_millis: 11.673, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 10.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.2302, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1255.812, usercpu_time_millis: 2.147, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 1.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.6242, kappa: 0.184, kb_relative_information_score: 95.2074, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9119, scimark_benchmark: 1264.4971, usercpu_time_millis: 5.709, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 4.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7732, kappa: 0.4958, kb_relative_information_score: 254.6653, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7722, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1258.7009, usercpu_time_millis: 20.843, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 19.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.1091, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1269.5103, usercpu_time_millis: 3.592, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 3.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 249.2829, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8261, scimark_benchmark: 1257.664, usercpu_time_millis: 24.385, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 22.355,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 245.7879, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1258.1323, usercpu_time_millis: 28.249, usercpu_time_millis_testing: 1.963, usercpu_time_millis_training: 26.286,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7478, kappa: 0.4348, kb_relative_information_score: 196.6383, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1259.4886, usercpu_time_millis: 8.317, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 7.502,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 224.6383, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1258.4901, usercpu_time_millis: 20.219, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 17.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5134, kb_relative_information_score: 0.1114, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1303.6087, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 239.7884, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8284, scimark_benchmark: 1262.639, usercpu_time_millis: 3.682, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 259.3489, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8451, scimark_benchmark: 1248.0781, usercpu_time_millis: 23.511, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 21.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -1.3213, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1256.8066, usercpu_time_millis: 1.299, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 261.3779, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.845, scimark_benchmark: 1253.3242, usercpu_time_millis: 42.629, usercpu_time_millis_testing: 3.254, usercpu_time_millis_training: 39.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 216.1355, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1261.4857, usercpu_time_millis: 16.069, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 14.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.6054, kappa: 0.1486, kb_relative_information_score: 90.3781, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7234, predictive_accuracy: 0.6875, prior_entropy: 0.9335, recall: 0.6875, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9163, scimark_benchmark: 1259.1803, usercpu_time_millis: 4.185, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.5134, kb_relative_information_score: -2.9361, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1258.4313, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 242.5605, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1262.0283, usercpu_time_millis: 30.155, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 27.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.0233, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1260.4212, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1374, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1260.9837, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 236.7384, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1256.6329, usercpu_time_millis: 12.485, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 11.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 234.1763, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1260.7193, usercpu_time_millis: 17.026, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 15.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7476, kappa: 0.4354, kb_relative_information_score: 213.0561, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8462, scimark_benchmark: 1254.1377, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7679, kappa: 0.484, kb_relative_information_score: 253.1121, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1265.1232, usercpu_time_millis: 14.197, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 13.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7737, kappa: 0.4945, kb_relative_information_score: 233.7961, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1266.2648, usercpu_time_millis: 39.121, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 34.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7565, kappa: 0.4614, kb_relative_information_score: 260.6237, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8497, scimark_benchmark: 1242.1264, usercpu_time_millis: 60.171, usercpu_time_millis_testing: 4.272, usercpu_time_millis_training: 55.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.3121, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1252.2236, usercpu_time_millis: 2.685, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1668, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1257.0741, usercpu_time_millis: 3.851, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 2.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7571, kappa: 0.4568, kb_relative_information_score: 210.1668, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8454, scimark_benchmark: 1262.4185, usercpu_time_millis: 4.788, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 4.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 248.5862, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1352.638, usercpu_time_millis: 9.823, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 9.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 261.4589, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8435, scimark_benchmark: 1258.8677, usercpu_time_millis: 72.623, usercpu_time_millis_testing: 4.716, usercpu_time_millis_training: 67.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 259.6907, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.857, scimark_benchmark: 1240.8593, usercpu_time_millis: 11.664, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 10.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.758, kappa: 0.4583, kb_relative_information_score: 238.7309, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1250.0879, usercpu_time_millis: 18.214, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 16.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7529, kappa: 0.4437, kb_relative_information_score: 176.1827, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8533, scimark_benchmark: 1254.8442, usercpu_time_millis: 20.658, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 18.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7551, kappa: 0.4509, kb_relative_information_score: 215.3214, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 1260.323, usercpu_time_millis: 11.042, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 9.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.759, kappa: 0.4594, kb_relative_information_score: 221.8105, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8326, scimark_benchmark: 1255.8835, usercpu_time_millis: 15.871, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 14.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.766, kappa: 0.4763, kb_relative_information_score: 237.5085, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1258.237, usercpu_time_millis: 19.972, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 18.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7657, kappa: 0.4737, kb_relative_information_score: 197.7042, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7702, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8433, scimark_benchmark: 1265.2508, usercpu_time_millis: 20.588, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 18.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7681, kappa: 0.4804, kb_relative_information_score: 221.6857, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1253.3407, usercpu_time_millis: 16.75, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 15.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 247.1925, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1254.9008, usercpu_time_millis: 14.998, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 13.851,

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